1
|
Cizmic A, Häberle F, Wise PA, Müller F, Gabel F, Mascagni P, Namazi B, Wagner M, Hashimoto DA, Madani A, Alseidi A, Hackert T, Müller-Stich BP, Nickel F. Structured feedback and operative video debriefing with critical view of safety annotation in training of laparoscopic cholecystectomy: a randomized controlled study. Surg Endosc 2024:10.1007/s00464-024-10843-6. [PMID: 38653899 DOI: 10.1007/s00464-024-10843-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2024] [Accepted: 04/02/2024] [Indexed: 04/25/2024]
Abstract
BACKGROUND The learning curve in minimally invasive surgery (MIS) is lengthened compared to open surgery. It has been reported that structured feedback and training in teams of two trainees improves MIS training and MIS performance. Annotation of surgical images and videos may prove beneficial for surgical training. This study investigated whether structured feedback and video debriefing, including annotation of critical view of safety (CVS), have beneficial learning effects in a predefined, multi-modal MIS training curriculum in teams of two trainees. METHODS This randomized-controlled single-center study included medical students without MIS experience (n = 80). The participants first completed a standardized and structured multi-modal MIS training curriculum. They were then randomly divided into two groups (n = 40 each), and four laparoscopic cholecystectomies (LCs) were performed on ex-vivo porcine livers each. Students in the intervention group received structured feedback after each LC, consisting of LC performance evaluations through tutor-trainee joint video debriefing and CVS video annotation. Performance was evaluated using global and LC-specific Objective Structured Assessments of Technical Skills (OSATS) and Global Operative Assessment of Laparoscopic Skills (GOALS) scores. RESULTS The participants in the intervention group had higher global and LC-specific OSATS as well as global and LC-specific GOALS scores than the participants in the control group (25.5 ± 7.3 vs. 23.4 ± 5.1, p = 0.003; 47.6 ± 12.9 vs. 36 ± 12.8, p < 0.001; 17.5 ± 4.4 vs. 16 ± 3.8, p < 0.001; 6.6 ± 2.3 vs. 5.9 ± 2.1, p = 0.005). The intervention group achieved CVS more often than the control group (1. LC: 20 vs. 10 participants, p = 0.037, 2. LC: 24 vs. 8, p = 0.001, 3. LC: 31 vs. 8, p < 0.001, 4. LC: 31 vs. 10, p < 0.001). CONCLUSIONS Structured feedback and video debriefing with CVS annotation improves CVS achievement and ex-vivo porcine LC training performance based on OSATS and GOALS scores.
Collapse
Affiliation(s)
- Amila Cizmic
- Department of General, Visceral and Thoracic Surgery, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20251, Hamburg, Germany
| | - Frida Häberle
- Department of General, Visceral and Transplantation Surgery, Heidelberg University Hospital, Heidelberg, Germany
| | - Philipp A Wise
- Department of General, Visceral and Transplantation Surgery, Heidelberg University Hospital, Heidelberg, Germany
| | - Felix Müller
- Department of General, Visceral and Transplantation Surgery, Heidelberg University Hospital, Heidelberg, Germany
| | - Felix Gabel
- Department of General, Visceral and Transplantation Surgery, Heidelberg University Hospital, Heidelberg, Germany
| | - Pietro Mascagni
- Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy
- Institute of Image-Guided Surgery, IHU-Strasbourg, Strasbourg, France
| | - Babak Namazi
- Center for Evidence-Based Simulation, Baylor University Medical Center, Dallas, USA
| | - Martin Wagner
- Department of Visceral, Thoracic and Vascular Surgery, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - Daniel A Hashimoto
- Penn Computer Assisted Surgery and Outcomes (PCASO) Laboratory, Department of Surgery, Department of Computer and Information Science, University of Pennsylvania, Philadelphia, USA
| | - Amin Madani
- Surgical Artificial Intelligence Research Academy (SARA), Department of Surgery, University Health Network, Toronto, Canada
| | - Adnan Alseidi
- Department of Surgery, University of California - San Francisco, San Francisco, USA
| | - Thilo Hackert
- Department of General, Visceral and Thoracic Surgery, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20251, Hamburg, Germany
| | - Beat P Müller-Stich
- Department of Surgery, Clarunis - University Centre for Gastrointestinal and Liver Diseases, Basel, Switzerland
| | - Felix Nickel
- Department of General, Visceral and Thoracic Surgery, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20251, Hamburg, Germany.
- Department of General, Visceral and Transplantation Surgery, Heidelberg University Hospital, Heidelberg, Germany.
- HIDSS4Health - Helmholtz Information and Data Science School for Health, Karlsruhe, Heidelberg, Germany.
| |
Collapse
|
2
|
Moreau M, Madani A, Dard R, Bourgeois T, d'Ortho MP, Delclaux C, Janel N, Matrot B. [Use of murine models for the study of obstructive sleep apnea syndrome in Down syndrome]. Rev Mal Respir 2024; 41:279-282. [PMID: 38461093 DOI: 10.1016/j.rmr.2024.02.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2024] [Accepted: 02/05/2024] [Indexed: 03/11/2024]
Abstract
Down syndrome (DS), or trisomy 21, is a genetic disorder caused by the presence of an extra copy of chromosome 21, leading to various characteristic physical features as well as developmental and cognitive delays. Obstructive sleep apnea syndrome (OSAS) is a common disorder in both adult and pediatric patients with DS. Several characteristics of DS may contribute to the development or worsening of OSAS. Numerous murine models of DS exist. A number of studies have explored apneas and the risk of upper airway obstruction in these models, but up until now, only in adulthood.
Collapse
Affiliation(s)
- M Moreau
- Université Paris Cité, BFA, UMR 8251, CNRS, 75013 Paris, France
| | - A Madani
- NeuroDiderot, université Paris Cité, Inserm, 75019 Paris, France.
| | - R Dard
- Université Paris Cité, BFA, UMR 8251, CNRS, 75013 Paris, France
| | - T Bourgeois
- NeuroDiderot, université Paris Cité, Inserm, 75019 Paris, France
| | - M-P d'Ortho
- NeuroDiderot, université Paris Cité, Inserm, 75019 Paris, France; Service de physiologie-explorations fonctionnelles, hôpital Bichat, AP-HP, 75018 Paris, France
| | - C Delclaux
- NeuroDiderot, université Paris Cité, Inserm, 75019 Paris, France; Service d'explorations fonctionnelles pédiatriques, hôpital Robert-Debré, AP-HP, 75019 Paris, France
| | - N Janel
- Université Paris Cité, BFA, UMR 8251, CNRS, 75013 Paris, France
| | - B Matrot
- NeuroDiderot, université Paris Cité, Inserm, 75019 Paris, France
| |
Collapse
|
3
|
Hashimoto DA, Sambasastry SK, Singh V, Kurada S, Altieri M, Yoshida T, Madani A, Jogan M. A foundation for evaluating the surgical artificial intelligence literature. Eur J Surg Oncol 2024:108014. [PMID: 38360498 DOI: 10.1016/j.ejso.2024.108014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2023] [Revised: 01/06/2024] [Accepted: 02/09/2024] [Indexed: 02/17/2024]
Abstract
With increasing growth in applications of artificial intelligence (AI) in surgery, it has become essential for surgeons to gain a foundation of knowledge to critically appraise the scientific literature, commercial claims regarding products, and regulatory and legal frameworks that govern the development and use of AI. This guide offers surgeons a framework with which to evaluate manuscripts that incorporate the use of AI. It provides a glossary of common terms, an overview of prerequisite knowledge to maximize understanding of methodology, and recommendations on how to carefully consider each element of a manuscript to assess the quality of the data on which an algorithm was trained, the appropriateness of the methodological approach, the potential for reproducibility of the experiment, and the applicability to surgical practice, including considerations on generalizability and scalability.
Collapse
Affiliation(s)
- Daniel A Hashimoto
- Penn Computer Assisted Surgery and Outcomes Laboratory, Department of Surgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA, USA; Global Surgical AI Collaborative, Toronto, ON, USA.
| | - Sai Koushik Sambasastry
- Penn Computer Assisted Surgery and Outcomes Laboratory, Department of Surgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA, USA
| | - Vivek Singh
- Penn Computer Assisted Surgery and Outcomes Laboratory, Department of Surgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Sruthi Kurada
- Penn Computer Assisted Surgery and Outcomes Laboratory, Department of Surgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA, USA
| | - Maria Altieri
- Penn Computer Assisted Surgery and Outcomes Laboratory, Department of Surgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Global Surgical AI Collaborative, Toronto, ON, USA
| | - Takuto Yoshida
- Surgical AI Research Academy, Department of Surgery, University Health Network, Toronto, ON, USA
| | - Amin Madani
- Global Surgical AI Collaborative, Toronto, ON, USA; Surgical AI Research Academy, Department of Surgery, University Health Network, Toronto, ON, USA
| | - Matjaz Jogan
- Penn Computer Assisted Surgery and Outcomes Laboratory, Department of Surgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| |
Collapse
|
4
|
Li A, Javidan AP, Namazi B, Madani A, Forbes TL. Development of an Artificial Intelligence Tool for Intraoperative Guidance During Endovascular Abdominal Aortic Aneurysm Repair. Ann Vasc Surg 2024; 99:96-104. [PMID: 37914075 DOI: 10.1016/j.avsg.2023.08.027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2023] [Revised: 08/02/2023] [Accepted: 08/15/2023] [Indexed: 11/03/2023]
Abstract
BACKGROUND Adverse events during surgery can occur in part due to errors in visual perception and judgment. Deep learning is a branch of artificial intelligence (AI) that has shown promise in providing real-time intraoperative guidance. This study aims to train and test the performance of a deep learning model that can identify inappropriate landing zones during endovascular aneurysm repair (EVAR). METHODS A deep learning model was trained to identify a "No-Go" landing zone during EVAR, defined by coverage of the lowest renal artery by the stent graft. Fluoroscopic images from elective EVAR procedures performed at a single institution and from open-access sources were selected. Annotations of the "No-Go" zone were performed by trained annotators. A 10-fold cross-validation technique was used to evaluate the performance of the model against human annotations. Primary outcomes were intersection-over-union (IoU) and F1 score and secondary outcomes were pixel-wise accuracy, sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV). RESULTS The AI model was trained using 369 images procured from 110 different patients/videos, including 18 patients/videos (44 images) from open-access sources. For the primary outcomes, IoU and F1 were 0.43 (standard deviation ± 0.29) and 0.53 (±0.32), respectively. For the secondary outcomes, accuracy, sensitivity, specificity, NPV, and PPV were 0.97 (±0.002), 0.51 (±0.34), 0.99 (±0.001). 0.99 (±0.002), and 0.62 (±0.34), respectively. CONCLUSIONS AI can effectively identify suboptimal areas of stent deployment during EVAR. Further directions include validating the model on datasets from other institutions and assessing its ability to predict optimal stent graft placement and clinical outcomes.
Collapse
Affiliation(s)
- Allen Li
- Faculty of Medicine & The Ottawa Hospital Research Institute, University of Ottawa, Ottawa, Ontario, Canada
| | - Arshia P Javidan
- Division of Vascular Surgery, University of Toronto, Toronto, Ontario, Canada
| | - Babak Namazi
- Department of Surgery, University of Texas Southwestern Medical Center, Dallas, TX
| | - Amin Madani
- Department of Surgery, University Health Network & University of Toronto, Toronto, Ontario, Canada; Surgical Artificial Intelligence Research Academy, University Health Network, Toronto, Ontario, Canada
| | - Thomas L Forbes
- Department of Surgery, University Health Network & University of Toronto, Toronto, Ontario, Canada.
| |
Collapse
|
5
|
Reinke A, Tizabi MD, Baumgartner M, Eisenmann M, Heckmann-Nötzel D, Kavur AE, Rädsch T, Sudre CH, Acion L, Antonelli M, Arbel T, Bakas S, Benis A, Buettner F, Cardoso MJ, Cheplygina V, Chen J, Christodoulou E, Cimini BA, Farahani K, Ferrer L, Galdran A, van Ginneken B, Glocker B, Godau P, Hashimoto DA, Hoffman MM, Huisman M, Isensee F, Jannin P, Kahn CE, Kainmueller D, Kainz B, Karargyris A, Kleesiek J, Kofler F, Kooi T, Kopp-Schneider A, Kozubek M, Kreshuk A, Kurc T, Landman BA, Litjens G, Madani A, Maier-Hein K, Martel AL, Meijering E, Menze B, Moons KGM, Müller H, Nichyporuk B, Nickel F, Petersen J, Rafelski SM, Rajpoot N, Reyes M, Riegler MA, Rieke N, Saez-Rodriguez J, Sánchez CI, Shetty S, Summers RM, Taha AA, Tiulpin A, Tsaftaris SA, Van Calster B, Varoquaux G, Yaniv ZR, Jäger PF, Maier-Hein L. Understanding metric-related pitfalls in image analysis validation. Nat Methods 2024; 21:182-194. [PMID: 38347140 DOI: 10.1038/s41592-023-02150-0] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2023] [Accepted: 12/12/2023] [Indexed: 02/15/2024]
Abstract
Validation metrics are key for tracking scientific progress and bridging the current chasm between artificial intelligence research and its translation into practice. However, increasing evidence shows that, particularly in image analysis, metrics are often chosen inadequately. Although taking into account the individual strengths, weaknesses and limitations of validation metrics is a critical prerequisite to making educated choices, the relevant knowledge is currently scattered and poorly accessible to individual researchers. Based on a multistage Delphi process conducted by a multidisciplinary expert consortium as well as extensive community feedback, the present work provides a reliable and comprehensive common point of access to information on pitfalls related to validation metrics in image analysis. Although focused on biomedical image analysis, the addressed pitfalls generalize across application domains and are categorized according to a newly created, domain-agnostic taxonomy. The work serves to enhance global comprehension of a key topic in image analysis validation.
Collapse
Affiliation(s)
- Annika Reinke
- German Cancer Research Center (DKFZ) Heidelberg, Division of Intelligent Medical Systems, Heidelberg, Germany.
- German Cancer Research Center (DKFZ) Heidelberg, HI Helmholtz Imaging, Heidelberg, Germany.
- Faculty of Mathematics and Computer Science, Heidelberg University, Heidelberg, Germany.
| | - Minu D Tizabi
- German Cancer Research Center (DKFZ) Heidelberg, Division of Intelligent Medical Systems, Heidelberg, Germany.
- National Center for Tumor Diseases (NCT), NCT Heidelberg, a partnership between DKFZ and University Medical Center Heidelberg, Heidelberg, Germany.
| | - Michael Baumgartner
- German Cancer Research Center (DKFZ) Heidelberg, Division of Medical Image Computing, Heidelberg, Germany
| | - Matthias Eisenmann
- German Cancer Research Center (DKFZ) Heidelberg, Division of Intelligent Medical Systems, Heidelberg, Germany
| | - Doreen Heckmann-Nötzel
- German Cancer Research Center (DKFZ) Heidelberg, Division of Intelligent Medical Systems, Heidelberg, Germany
- National Center for Tumor Diseases (NCT), NCT Heidelberg, a partnership between DKFZ and University Medical Center Heidelberg, Heidelberg, Germany
| | - A Emre Kavur
- German Cancer Research Center (DKFZ) Heidelberg, Division of Intelligent Medical Systems, Heidelberg, Germany
- German Cancer Research Center (DKFZ) Heidelberg, Division of Medical Image Computing, Heidelberg, Germany
- German Cancer Research Center (DKFZ) Heidelberg, HI Applied Computer Vision Lab, Heidelberg, Germany
| | - Tim Rädsch
- German Cancer Research Center (DKFZ) Heidelberg, Division of Intelligent Medical Systems, Heidelberg, Germany
- German Cancer Research Center (DKFZ) Heidelberg, HI Helmholtz Imaging, Heidelberg, Germany
| | - Carole H Sudre
- MRC Unit for Lifelong Health and Ageing at UCL and Centre for Medical Image Computing, Department of Computer Science, University College London, London, UK
- School of Biomedical Engineering and Imaging Science, King's College London, London, UK
| | - Laura Acion
- Instituto de Cálculo, CONICET - Universidad de Buenos Aires, Buenos Aires, Argentina
| | - Michela Antonelli
- School of Biomedical Engineering and Imaging Science, King's College London, London, UK
- Centre for Medical Image Computing, University College London, London, UK
| | - Tal Arbel
- Centre for Intelligent Machines and MILA (Quebec Artificial Intelligence Institute), McGill University, Montréal, Quebec, Canada
| | - Spyridon Bakas
- Division of Computational Pathology, Dept of Pathology & Laboratory Medicine, Indiana University School of Medicine, Indianapolis, IN, USA
- Center for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, PA, USA
| | - Arriel Benis
- Department of Digital Medical Technologies, Holon Institute of Technology, Holon, Israel
- European Federation for Medical Informatics, Le Mont-sur-Lausanne, Switzerland
| | - Florian Buettner
- German Cancer Consortium (DKTK), partner site Frankfurt/Mainz, a partnership between DKFZ and UCT Frankfurt-Marburg, Frankfurt am Main, Germany
- German Cancer Research Center (DKFZ) Heidelberg, Heidelberg, Germany
- Goethe University Frankfurt, Department of Medicine, Frankfurt am Main, Germany
- Goethe University Frankfurt, Department of Informatics, Frankfurt am Main, Germany
- Frankfurt Cancer Insititute, Frankfurt am Main, Germany
| | - M Jorge Cardoso
- School of Biomedical Engineering and Imaging Science, King's College London, London, UK
| | - Veronika Cheplygina
- Department of Computer Science, IT University of Copenhagen, Copenhagen, Denmark
| | - Jianxu Chen
- Leibniz-Institut für Analytische Wissenschaften - ISAS - e.V., Dortmund, Germany
| | - Evangelia Christodoulou
- German Cancer Research Center (DKFZ) Heidelberg, Division of Intelligent Medical Systems, Heidelberg, Germany
| | - Beth A Cimini
- Imaging Platform, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Keyvan Farahani
- Center for Biomedical Informatics and Information Technology, National Cancer Institute, Bethesda, MD, USA
| | - Luciana Ferrer
- Instituto de Investigación en Ciencias de la Computación (ICC), CONICET-UBA, Ciudad Autónoma de Buenos Aires, Buenos Aires, Argentina
| | - Adrian Galdran
- Universitat Pompeu Fabra, Barcelona, Spain
- University of Adelaide, Adelaide, South Australia, Australia
| | - Bram van Ginneken
- Fraunhofer MEVIS, Bremen, Germany
- Radboud Institute for Health Sciences, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Ben Glocker
- Department of Computing, Imperial College London, South Kensington Campus, London, UK
| | - Patrick Godau
- German Cancer Research Center (DKFZ) Heidelberg, Division of Intelligent Medical Systems, Heidelberg, Germany
- Faculty of Mathematics and Computer Science, Heidelberg University, Heidelberg, Germany
- National Center for Tumor Diseases (NCT), NCT Heidelberg, a partnership between DKFZ and University Medical Center Heidelberg, Heidelberg, Germany
| | - Daniel A Hashimoto
- Department of Surgery, Perelman School of Medicine, Philadelphia, PA, USA
- General Robotics Automation Sensing and Perception Laboratory, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA, USA
| | - Michael M Hoffman
- Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada
- Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada
- Department of Computer Science, University of Toronto, Toronto, Ontario, Canada
- Vector Institute for Artificial Intelligence, Toronto, Ontario, Canada
| | - Merel Huisman
- Department of Radiology and Nuclear Medicine, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Fabian Isensee
- German Cancer Research Center (DKFZ) Heidelberg, Division of Medical Image Computing, Heidelberg, Germany
- German Cancer Research Center (DKFZ) Heidelberg, HI Applied Computer Vision Lab, Heidelberg, Germany
| | - Pierre Jannin
- Laboratoire Traitement du Signal et de l'Image - UMR_S 1099, Université de Rennes 1, Rennes, France
- INSERM, Paris, France
| | - Charles E Kahn
- Department of Radiology and Institute for Biomedical Informatics, University of Pennsylvania, Philadelphia, PA, USA
| | - Dagmar Kainmueller
- Max-Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), Biomedical Image Analysis and HI Helmholtz Imaging, Berlin, Germany
- University of Potsdam, Digital Engineering Faculty, Potsdam, Germany
| | - Bernhard Kainz
- Department of Computing, Faculty of Engineering, Imperial College London, London, UK
- Department AIBE, Friedrich-Alexander-Universität (FAU), Erlangen-Nürnberg, Germany
| | | | - Jens Kleesiek
- Translational Image-guided Oncology (TIO), Institute for AI in Medicine (IKIM), University Medicine Essen, Essen, Germany
| | | | | | - Annette Kopp-Schneider
- German Cancer Research Center (DKFZ) Heidelberg, Division of Biostatistics, Heidelberg, Germany
| | - Michal Kozubek
- Centre for Biomedical Image Analysis and Faculty of Informatics, Masaryk University, Brno, Czech Republic
| | - Anna Kreshuk
- Cell Biology and Biophysics Unit, European Molecular Biology Laboratory (EMBL), Heidelberg, Germany
| | - Tahsin Kurc
- Department of Biomedical Informatics, Stony Brook University, Health Science Center, Stony Brook, NY, USA
| | | | - Geert Litjens
- Department of Pathology, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Amin Madani
- Department of Surgery, University Health Network, Philadelphia, PA, USA
| | - Klaus Maier-Hein
- German Cancer Research Center (DKFZ) Heidelberg, Division of Medical Image Computing, Heidelberg, Germany
- Pattern Analysis and Learning Group, Department of Radiation Oncology, Heidelberg University Hospital, Heidelberg, Germany
| | - Anne L Martel
- Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada
- Physical Sciences, Sunnybrook Research Institute, Toronto, Ontario, Canada
| | - Erik Meijering
- School of Computer Science and Engineering, University of New South Wales, UNSW Sydney, Kensington, New South Wales, Australia
| | - Bjoern Menze
- Department of Quantitative Biomedicine, University of Zurich, Zurich, Switzerland
| | - Karel G M Moons
- Julius Center for Health Sciences and Primary Care, UMC Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Henning Müller
- Information Systems Institute, University of Applied Sciences Western Switzerland (HES-SO), Sierre, Switzerland
- Medical Faculty, University of Geneva, Geneva, Switzerland
| | - Brennan Nichyporuk
- MILA (Quebec Artificial Intelligence Institute), Montréal, Quebec, Canada
| | - Felix Nickel
- Department of General, Visceral and Thoracic Surgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Jens Petersen
- German Cancer Research Center (DKFZ) Heidelberg, Division of Medical Image Computing, Heidelberg, Germany
| | | | - Nasir Rajpoot
- Tissue Image Analytics Laboratory, Department of Computer Science, University of Warwick, Coventry, UK
| | - Mauricio Reyes
- ARTORG Center for Biomedical Engineering Research, University of Bern, Bern, Switzerland
- Department of Radiation Oncology, University Hospital Bern, University of Bern, Bern, Switzerland
| | - Michael A Riegler
- Simula Metropolitan Center for Digital Engineering, Oslo, Norway
- UiT The Arctic University of Norway, Tromsø, Norway
| | | | - Julio Saez-Rodriguez
- Institute for Computational Biomedicine, Heidelberg University, Heidelberg, Germany
- Faculty of Medicine, Heidelberg University Hospital, Heidelberg, Germany
| | - Clara I Sánchez
- Informatics Institute, Faculty of Science, University of Amsterdam, Amsterdam, the Netherlands
| | | | - Ronald M Summers
- National Institutes of Health Clinical Center, Bethesda, MD, USA
| | - Abdel A Taha
- Institute of Information Systems Engineering, TU Wien, Vienna, Austria
| | - Aleksei Tiulpin
- Research Unit of Health Sciences and Technology, Faculty of Medicine, University of Oulu, Oulu, Finland
- Neurocenter Oulu, Oulu University Hospital, Oulu, Finland
| | | | - Ben Van Calster
- Department of Development and Regeneration and EPI-centre, KU Leuven, Leuven, Belgium
- Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, the Netherlands
| | - Gaël Varoquaux
- Parietal project team, INRIA Saclay-Île de France, Palaiseau, France
| | - Ziv R Yaniv
- National Institute of Allergy and Infectious Diseases, Bethesda, MD, USA
| | - Paul F Jäger
- German Cancer Research Center (DKFZ) Heidelberg, HI Helmholtz Imaging, Heidelberg, Germany.
- German Cancer Research Center (DKFZ) Heidelberg, Interactive Machine Learning Group, Heidelberg, Germany.
| | - Lena Maier-Hein
- German Cancer Research Center (DKFZ) Heidelberg, Division of Intelligent Medical Systems, Heidelberg, Germany.
- German Cancer Research Center (DKFZ) Heidelberg, HI Helmholtz Imaging, Heidelberg, Germany.
- Faculty of Mathematics and Computer Science, Heidelberg University, Heidelberg, Germany.
- National Center for Tumor Diseases (NCT), NCT Heidelberg, a partnership between DKFZ and University Medical Center Heidelberg, Heidelberg, Germany.
- Faculty of Medicine, Heidelberg University Hospital, Heidelberg, Germany.
| |
Collapse
|
6
|
Maier-Hein L, Reinke A, Godau P, Tizabi MD, Buettner F, Christodoulou E, Glocker B, Isensee F, Kleesiek J, Kozubek M, Reyes M, Riegler MA, Wiesenfarth M, Kavur AE, Sudre CH, Baumgartner M, Eisenmann M, Heckmann-Nötzel D, Rädsch T, Acion L, Antonelli M, Arbel T, Bakas S, Benis A, Blaschko MB, Cardoso MJ, Cheplygina V, Cimini BA, Collins GS, Farahani K, Ferrer L, Galdran A, van Ginneken B, Haase R, Hashimoto DA, Hoffman MM, Huisman M, Jannin P, Kahn CE, Kainmueller D, Kainz B, Karargyris A, Karthikesalingam A, Kofler F, Kopp-Schneider A, Kreshuk A, Kurc T, Landman BA, Litjens G, Madani A, Maier-Hein K, Martel AL, Mattson P, Meijering E, Menze B, Moons KGM, Müller H, Nichyporuk B, Nickel F, Petersen J, Rajpoot N, Rieke N, Saez-Rodriguez J, Sánchez CI, Shetty S, van Smeden M, Summers RM, Taha AA, Tiulpin A, Tsaftaris SA, Van Calster B, Varoquaux G, Jäger PF. Metrics reloaded: recommendations for image analysis validation. Nat Methods 2024; 21:195-212. [PMID: 38347141 DOI: 10.1038/s41592-023-02151-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2023] [Accepted: 12/12/2023] [Indexed: 02/15/2024]
Abstract
Increasing evidence shows that flaws in machine learning (ML) algorithm validation are an underestimated global problem. In biomedical image analysis, chosen performance metrics often do not reflect the domain interest, and thus fail to adequately measure scientific progress and hinder translation of ML techniques into practice. To overcome this, we created Metrics Reloaded, a comprehensive framework guiding researchers in the problem-aware selection of metrics. Developed by a large international consortium in a multistage Delphi process, it is based on the novel concept of a problem fingerprint-a structured representation of the given problem that captures all aspects that are relevant for metric selection, from the domain interest to the properties of the target structure(s), dataset and algorithm output. On the basis of the problem fingerprint, users are guided through the process of choosing and applying appropriate validation metrics while being made aware of potential pitfalls. Metrics Reloaded targets image analysis problems that can be interpreted as classification tasks at image, object or pixel level, namely image-level classification, object detection, semantic segmentation and instance segmentation tasks. To improve the user experience, we implemented the framework in the Metrics Reloaded online tool. Following the convergence of ML methodology across application domains, Metrics Reloaded fosters the convergence of validation methodology. Its applicability is demonstrated for various biomedical use cases.
Collapse
Affiliation(s)
- Lena Maier-Hein
- German Cancer Research Center (DKFZ) Heidelberg, Division of Intelligent Medical Systems, Heidelberg, Germany.
- German Cancer Research Center (DKFZ) Heidelberg, HI Helmholtz Imaging, Heidelberg, Germany.
- Faculty of Mathematics and Computer Science, Heidelberg University, Heidelberg, Germany.
- Medical Faculty, Heidelberg University, Heidelberg, Germany.
- National Center for Tumor Diseases (NCT), NCT Heidelberg, a partnership between DKFZ and University Medical Center Heidelberg, Heidelberg, Germany.
| | - Annika Reinke
- German Cancer Research Center (DKFZ) Heidelberg, Division of Intelligent Medical Systems, Heidelberg, Germany.
- German Cancer Research Center (DKFZ) Heidelberg, HI Helmholtz Imaging, Heidelberg, Germany.
- Faculty of Mathematics and Computer Science, Heidelberg University, Heidelberg, Germany.
| | - Patrick Godau
- German Cancer Research Center (DKFZ) Heidelberg, Division of Intelligent Medical Systems, Heidelberg, Germany
- Faculty of Mathematics and Computer Science, Heidelberg University, Heidelberg, Germany
- National Center for Tumor Diseases (NCT), NCT Heidelberg, a partnership between DKFZ and University Medical Center Heidelberg, Heidelberg, Germany
| | - Minu D Tizabi
- German Cancer Research Center (DKFZ) Heidelberg, Division of Intelligent Medical Systems, Heidelberg, Germany
- National Center for Tumor Diseases (NCT), NCT Heidelberg, a partnership between DKFZ and University Medical Center Heidelberg, Heidelberg, Germany
| | - Florian Buettner
- German Cancer Consortium (DKTK), partner site Frankfurt/Mainz, a partnership between DKFZ and UCT Frankfurt-Marburg, Frankfurt am Main, Germany
- German Cancer Research Center (DKFZ) Heidelberg, Heidelberg, Germany
- Department of Medicine, Goethe University Frankfurt, Frankfurt am Main, Germany
- Department of Informatics, Goethe University Frankfurt, Frankfurt am Main, Germany
- Frankfurt Cancer Insititute, Frankfurt am Main, Germany
| | - Evangelia Christodoulou
- German Cancer Research Center (DKFZ) Heidelberg, Division of Intelligent Medical Systems, Heidelberg, Germany
| | - Ben Glocker
- Department of Computing, Imperial College London, South Kensington Campus, London, UK
| | - Fabian Isensee
- German Cancer Research Center (DKFZ) Heidelberg, Division of Medical Image Computing, Heidelberg, Germany
- German Cancer Research Center (DKFZ) Heidelberg, HI Applied Computer Vision Lab, Heidelberg, Germany
| | - Jens Kleesiek
- Institute for AI in Medicine, University Medicine Essen, Essen, Germany
| | - Michal Kozubek
- Centre for Biomedical Image Analysis and Faculty of Informatics, Masaryk University, Brno, Czech Republic
| | - Mauricio Reyes
- ARTORG Center for Biomedical Engineering Research, University of Bern, Bern, Switzerland
- Department of Radiation Oncology, University Hospital Bern, University of Bern, Bern, Switzerland
| | - Michael A Riegler
- Simula Metropolitan Center for Digital Engineering, Oslo, Norway
- Department of Computer Science, UiT The Arctic University of Norway, Tromsø, Norway
| | - Manuel Wiesenfarth
- German Cancer Research Center (DKFZ) Heidelberg, Division of Biostatistics, Heidelberg, Germany
| | - A Emre Kavur
- German Cancer Research Center (DKFZ) Heidelberg, Division of Intelligent Medical Systems, Heidelberg, Germany
- German Cancer Research Center (DKFZ) Heidelberg, Division of Medical Image Computing, Heidelberg, Germany
- German Cancer Research Center (DKFZ) Heidelberg, HI Applied Computer Vision Lab, Heidelberg, Germany
| | - Carole H Sudre
- MRC Unit for Lifelong Health and Ageing at UCL and Centre for Medical Image Computing, Department of Computer Science, University College London, London, UK
- School of Biomedical Engineering and Imaging Science, King's College London, London, UK
| | - Michael Baumgartner
- German Cancer Research Center (DKFZ) Heidelberg, Division of Medical Image Computing, Heidelberg, Germany
| | - Matthias Eisenmann
- German Cancer Research Center (DKFZ) Heidelberg, Division of Intelligent Medical Systems, Heidelberg, Germany
| | - Doreen Heckmann-Nötzel
- German Cancer Research Center (DKFZ) Heidelberg, Division of Intelligent Medical Systems, Heidelberg, Germany
- National Center for Tumor Diseases (NCT), NCT Heidelberg, a partnership between DKFZ and University Medical Center Heidelberg, Heidelberg, Germany
| | - Tim Rädsch
- German Cancer Research Center (DKFZ) Heidelberg, Division of Intelligent Medical Systems, Heidelberg, Germany
- German Cancer Research Center (DKFZ) Heidelberg, HI Helmholtz Imaging, Heidelberg, Germany
| | - Laura Acion
- Instituto de Cálculo, CONICET - Universidad de Buenos Aires, Buenos Aires, Argentina
| | - Michela Antonelli
- School of Biomedical Engineering and Imaging Science, King's College London, London, UK
- Centre for Medical Image Computing, University College London, London, UK
| | - Tal Arbel
- Centre for Intelligent Machines and MILA (Québec Artificial Intelligence Institute), McGill University, Montréal, Quebec, Canada
| | - Spyridon Bakas
- Division of Computational Pathology, Department of Pathology & Laboratory Medicine, Indiana University School of Medicine, IU Health Information and Translational Sciences Building, Indianapolis, IN, USA
- Center for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, PA, USA
| | - Arriel Benis
- Department of Digital Medical Technologies, Holon Institute of Technology, Holon, Israel
- European Federation for Medical Informatics, Le Mont-sur-Lausanne, Switzerland
| | - Matthew B Blaschko
- Center for Processing Speech and Images, Department of Electrical Engineering, KU Leuven, Leuven, Belgium
| | - M Jorge Cardoso
- School of Biomedical Engineering and Imaging Science, King's College London, London, UK
| | - Veronika Cheplygina
- Department of Computer Science, IT University of Copenhagen, Copenhagen, Denmark
| | - Beth A Cimini
- Imaging Platform, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Gary S Collins
- Centre for Statistics in Medicine, University of Oxford, Nuffield Orthopaedic Centre, Oxford, UK
| | - Keyvan Farahani
- Center for Biomedical Informatics and Information Technology, National Cancer Institute, Bethesda, MD, USA
| | - Luciana Ferrer
- Instituto de Investigación en Ciencias de la Computación (ICC), CONICET-UBA, Ciudad Autónoma de Buenos Aires, Buenos Aires, Argentina
| | - Adrian Galdran
- BCN Medtech, Universitat Pompeu Fabra, Barcelona, Spain
- Australian Institute for Machine Learning AIML, University of Adelaide, Adelaide, South Australia, Australia
| | - Bram van Ginneken
- Fraunhofer MEVIS, Bremen, Germany
- Radboud Institute for Health Sciences, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Robert Haase
- Technische Universität (TU) Dresden, DFG Cluster of Excellence 'Physics of Life', Dresden, Germany
- Center for Systems Biology, Dresden, Germany
- Center for Scalable Data Analytics and Artificial Intelligence (ScaDS.AI), Leipzig University, Leipzig, Germany
| | - Daniel A Hashimoto
- Department of Surgery, Perelman School of Medicine, Philadelphia, PA, USA
- General Robotics Automation Sensing and Perception Laboratory, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA, USA
| | - Michael M Hoffman
- Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada
- Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada
- Vector Institute for Artificial Intelligence, Toronto, Ontario, Canada
- Department of Computer Science, University of Toronto, Toronto, Ontario, Canada
| | - Merel Huisman
- Department of Radiology and Nuclear Medicine, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Pierre Jannin
- Laboratoire Traitement du Signal et de l'Image - UMR_S 1099, Université de Rennes 1, Rennes, France
- INSERM, Paris, France
| | - Charles E Kahn
- Department of Radiology and Institute for Biomedical Informatics, University of Pennsylvania, Philadelphia, PA, USA
| | - Dagmar Kainmueller
- Max-Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), Biomedical Image Analysis and HI Helmholtz Imaging, Berlin, Germany
- Digital Engineering Faculty, University of Potsdam, Potsdam, Germany
| | - Bernhard Kainz
- Department of Computing, Faculty of Engineering, Imperial College London, London, UK
- Department AIBE, Friedrich-Alexander-Universität (FAU), Erlangen-Nürnberg, Germany
| | | | | | | | - Annette Kopp-Schneider
- German Cancer Research Center (DKFZ) Heidelberg, Division of Biostatistics, Heidelberg, Germany
| | - Anna Kreshuk
- Cell Biology and Biophysics Unit, European Molecular Biology Laboratory (EMBL), Heidelberg, Germany
| | - Tahsin Kurc
- Department of Biomedical Informatics, Stony Brook University, Health Science Center, Stony Brook, NY, USA
| | | | - Geert Litjens
- Department of Pathology, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Amin Madani
- Department of Surgery, University Health Network, Philadelphia, PA, USA
| | - Klaus Maier-Hein
- German Cancer Research Center (DKFZ) Heidelberg, Division of Medical Image Computing, Heidelberg, Germany
- Pattern Analysis and Learning Group, Department of Radiation Oncology, Heidelberg University Hospital, Heidelberg, Germany
| | - Anne L Martel
- Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada
- Department of Computer Science, University of Toronto, Toronto, Ontario, Canada
- Physical Sciences, Sunnybrook Research Institute, Toronto, Ontario, Canada
| | - Peter Mattson
- Google, 1600 Amphitheatre Pkwy, Mountain View, CA, USA
| | - Erik Meijering
- School of Computer Science and Engineering, University of New South Wales, UNSW Sydney, Kensington, New South Wales, Australia
| | - Bjoern Menze
- Department of Quantitative Biomedicine, University of Zurich, Zurich, Switzerland
| | - Karel G M Moons
- Julius Center for Health Sciences and Primary Care, UMC Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Henning Müller
- Information Systems Institute, University of Applied Sciences Western Switzerland (HES-SO), Sierre, Switzerland
- Medical Faculty, University of Geneva, Geneva, Switzerland
| | - Brennan Nichyporuk
- MILA (Québec Artificial Intelligence Institute), Montréal, Quebec, Canada
| | - Felix Nickel
- Department of General, Visceral and Thoracic Surgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Jens Petersen
- German Cancer Research Center (DKFZ) Heidelberg, Division of Medical Image Computing, Heidelberg, Germany
| | - Nasir Rajpoot
- Tissue Image Analytics Laboratory, Department of Computer Science, University of Warwick, Coventry, UK
| | | | - Julio Saez-Rodriguez
- Institute for Computational Biomedicine, Heidelberg University, Heidelberg, Germany
- Faculty of Medicine, Heidelberg University Hospital, Heidelberg, Germany
| | - Clara I Sánchez
- Informatics Institute, Faculty of Science, University of Amsterdam, Amsterdam, the Netherlands
| | | | - Maarten van Smeden
- Julius Center for Health Sciences and Primary Care, UMC Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Ronald M Summers
- National Institutes of Health Clinical Center, Bethesda, MD, USA
| | - Abdel A Taha
- Institute of Information Systems Engineering, TU Wien, Vienna, Austria
| | - Aleksei Tiulpin
- Research Unit of Health Sciences and Technology, Faculty of Medicine, University of Oulu, Oulu, Finland
- Neurocenter Oulu, Oulu University Hospital, Oulu, Finland
| | | | - Ben Van Calster
- Department of Development and Regeneration and EPI-centre, KU Leuven, Leuven, Belgium
- Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, the Netherlands
| | - Gaël Varoquaux
- Parietal project team, INRIA Saclay-Île de France, Palaiseau, France
| | - Paul F Jäger
- German Cancer Research Center (DKFZ) Heidelberg, HI Helmholtz Imaging, Heidelberg, Germany.
- German Cancer Research Center (DKFZ) Heidelberg, Interactive Machine Learning Group, Heidelberg, Germany.
| |
Collapse
|
7
|
Ali JT, Yang G, Green CA, Reed BL, Madani A, Ponsky TA, Hazey J, Rothenberg SS, Schlachta CM, Oleynikov D, Szoka N. Defining digital surgery: a SAGES white paper. Surg Endosc 2024; 38:475-487. [PMID: 38180541 DOI: 10.1007/s00464-023-10551-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2023] [Accepted: 10/17/2023] [Indexed: 01/06/2024]
Abstract
BACKGROUND Digital surgery is a new paradigm within the surgical innovation space that is rapidly advancing and encompasses multiple areas. METHODS This white paper from the SAGES Digital Surgery Working Group outlines the scope of digital surgery, defines key terms, and analyzes the challenges and opportunities surrounding this disruptive technology. RESULTS In its simplest form, digital surgery inserts a computer interface between surgeon and patient. We divide the digital surgery space into the following elements: advanced visualization, enhanced instrumentation, data capture, data analytics with artificial intelligence/machine learning, connectivity via telepresence, and robotic surgical platforms. We will define each area, describe specific terminology, review current advances as well as discuss limitations and opportunities for future growth. CONCLUSION Digital Surgery will continue to evolve and has great potential to bring value to all levels of the healthcare system. The surgical community has an essential role in understanding, developing, and guiding this emerging field.
Collapse
Affiliation(s)
- Jawad T Ali
- University of Texas at Austin, Austin, TX, USA
| | - Gene Yang
- University at Buffalo, Buffalo, NY, USA
| | | | | | - Amin Madani
- University of Toronto, Toronto, ON, Canada
- Surgical Artificial Intelligence Research Academy, University Health Network, Toronto, ON, Canada
| | - Todd A Ponsky
- Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
| | | | | | | | - Dmitry Oleynikov
- Monmouth Medical Center, Robert Wood Johnson Barnabas Health, Rutgers School of Medicine, Long Branch, NJ, USA
| | - Nova Szoka
- Department of Surgery, West Virginia University, Suite 7500 HSS, PO Box 9238, Morgantown, WV, 26506-9238, USA.
| |
Collapse
|
8
|
Shafa G, Kiani P, Masino C, Okrainec A, Pasternak JD, Alseidi A, Madani A. Training for excellence: using a multimodal videoconferencing platform to coach surgeons and improve intraoperative performance. Surg Endosc 2023; 37:9406-9413. [PMID: 37670189 DOI: 10.1007/s00464-023-10374-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2023] [Accepted: 07/30/2023] [Indexed: 09/07/2023]
Abstract
INTRODUCTION Continuing Professional Development opportunities for lifelong learning are fundamental to the acquisition of surgical expertise. However, few opportunities exist for longitudinal and structured learning to support the educational needs of surgeons in practice. While peer-to-peer coaching has been proposed as a potential solution, there remains significant logistical constraints and a lack of evidence to support its effectiveness. The purpose of this study is to determine whether the use of remote videoconferencing for video-based coaching improves operative performance. METHODS Early career surgeon mentees participated in a remote coaching intervention with a surgeon coach of their choice and using a virtual telestration platform (Zoom Video Communications, San Jose, CA). Feedback was articulated through annotating videos. The coach evaluated mentee performance using a modified Intraoperative Performance Assessment Tool (IPAT). Participants completed a 5-point Likert scale on the educational value of the coaching program. RESULTS Eight surgeons were enrolled in the study, six of whom completed a total of two coaching sessions (baseline, 6-month). Subspecialties included endocrine, hepatopancreatobiliary, and surgical oncology. Mean age of participants was 39 (SD 3.3), with mean 5 (SD 4.1) years in independent practice. Total IPAT scores increased significantly from the first session (mean 47.0, SD 1.9) to the second session (mean 51.8, SD 2.1), p = 0.03. Sub-category analysis showed a significant improvement in the Advanced Cognitive Skills domain with a mean of 33.2 (SD 2.5) versus a mean of 37.0 (SD 2.4), p < 0.01. There was no improvement in the psychomotor skills category. Participants agreed or strongly agreed that the coaching programs can improve surgical performance and decision-making (coaches 85%; mentees 100%). CONCLUSION Remote surgical coaching is feasible and has educational value using ubiquitous commercially available virtual platforms. Logistical issues with scheduling and finding cases aligned with learning objectives continue to challenge program adoption and widespread dissemination.
Collapse
Affiliation(s)
- Golsa Shafa
- Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
- Surgical Artificial Intelligence Research Academy, University Health Network, Toronto, ON, Canada
| | - Parmiss Kiani
- Surgical Artificial Intelligence Research Academy, University Health Network, Toronto, ON, Canada
| | - Caterina Masino
- Surgical Artificial Intelligence Research Academy, University Health Network, Toronto, ON, Canada
| | - Allan Okrainec
- Department of Surgery, University of Toronto, Toronto, ON, Canada
| | | | - Adnan Alseidi
- Department of Surgery, University of California, San Francisco, CA, USA
| | - Amin Madani
- Department of Surgery, University of Toronto, Toronto, ON, Canada.
- Surgical Artificial Intelligence Research Academy, University Health Network, Toronto, ON, Canada.
- University Health Network - Toronto Western Hospital, Main Pavilion, 13MP-312B, 399, Bathurst St, Toronto, ON, M5T 2S8, Canada.
| |
Collapse
|
9
|
Hameed MS, Laplante S, Masino C, Khalid MU, Zhang H, Protserov S, Hunter J, Mashouri P, Fecso AB, Brudno M, Madani A. What is the educational value and clinical utility of artificial intelligence for intraoperative and postoperative video analysis? A survey of surgeons and trainees. Surg Endosc 2023; 37:9453-9460. [PMID: 37697116 DOI: 10.1007/s00464-023-10377-3] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2023] [Accepted: 07/30/2023] [Indexed: 09/13/2023]
Abstract
INTRODUCTION Surgical complications often occur due to lapses in judgment and decision-making. Advances in artificial intelligence (AI) have made it possible to train algorithms that identify anatomy and interpret the surgical field. These algorithms can potentially be used for intraoperative decision-support and postoperative video analysis and feedback. Despite the very early success of proof-of-concept algorithms, it remains unknown whether this innovation meets the needs of end-users or how best to deploy it. This study explores users' opinion on the value, usability and design for adapting AI in operating rooms. METHODS A device-agnostic web-accessible software was developed to provide AI inference either (1) intraoperatively on a live video stream (synchronous mode), or (2) on an uploaded video or image file (asynchronous mode) postoperatively for feedback. A validated AI model (GoNoGoNet), which identifies safe and dangerous zones of dissection during laparoscopic cholecystectomy, was used as the use case. Surgeons and trainees performing laparoscopic cholecystectomy interacted with the AI platform and completed a 5-point Likert scale survey to evaluate the educational value, usability and design of the platform. RESULTS Twenty participants (11 surgeons and 9 trainees) evaluated the platform intraoperatively (n = 10) and postoperatively (n = 11). The majority agreed or strongly agreed that AI is an effective adjunct to surgical training (81%; neutral = 10%), effective for providing real-time feedback (70%; neutral = 20%), postoperative feedback (73%; neutral = 27%), and capable of improving surgeon confidence (67%; neutral = 29%). Only 40% (neutral = 50%) and 57% (neutral = 43%) believe that the tool is effective in improving intraoperative decisions and performance, or beneficial for patient care, respectively. Overall, 38% (neutral = 43%) reported they would use this platform consistently if available. The majority agreed or strongly agreed that the platform was easy to use (81%; neutral = 14%) and has acceptable resolution (62%; neutral = 24%), while 30% (neutral = 20%) reported that it disrupted the OR workflow, and 20% (neutral = 0%) reported significant time lag. All respondents reported that such a system should be available "on-demand" to turn on/off at their discretion. CONCLUSIONS Most found AI to be a useful tool for providing support and feedback to surgeons, despite several implementation obstacles. The study findings will inform the future design and usability of this technology in order to optimize its clinical impact and adoption by end-users.
Collapse
Affiliation(s)
- M Saif Hameed
- Surgical Artificial Intelligence Research Academy, University Health Network, 81 Baldwin Street, Toronto, ON, M5T 1L5, Canada.
| | - Simon Laplante
- Surgical Artificial Intelligence Research Academy, University Health Network, 81 Baldwin Street, Toronto, ON, M5T 1L5, Canada
- Department of Surgery, University of Toronto, Toronto, ON, Canada
| | - Caterina Masino
- Surgical Artificial Intelligence Research Academy, University Health Network, 81 Baldwin Street, Toronto, ON, M5T 1L5, Canada
| | - Muhammad Uzair Khalid
- Surgical Artificial Intelligence Research Academy, University Health Network, 81 Baldwin Street, Toronto, ON, M5T 1L5, Canada
- Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
| | - Haochi Zhang
- DATA Team, University Health Network, Toronto, ON, Canada
| | | | - Jaryd Hunter
- DATA Team, University Health Network, Toronto, ON, Canada
| | | | - Andras B Fecso
- Surgical Artificial Intelligence Research Academy, University Health Network, 81 Baldwin Street, Toronto, ON, M5T 1L5, Canada
| | - Michael Brudno
- DATA Team, University Health Network, Toronto, ON, Canada
| | - Amin Madani
- Surgical Artificial Intelligence Research Academy, University Health Network, 81 Baldwin Street, Toronto, ON, M5T 1L5, Canada
- Department of Surgery, University of Toronto, Toronto, ON, Canada
| |
Collapse
|
10
|
Khalid MU, Laplante S, Masino C, Alseidi A, Jayaraman S, Zhang H, Mashouri P, Protserov S, Hunter J, Brudno M, Madani A. Use of artificial intelligence for decision-support to avoid high-risk behaviors during laparoscopic cholecystectomy. Surg Endosc 2023; 37:9467-9475. [PMID: 37697115 DOI: 10.1007/s00464-023-10403-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2023] [Accepted: 08/14/2023] [Indexed: 09/13/2023]
Abstract
INTRODUCTION Bile duct injuries (BDIs) are a significant source of morbidity among patients undergoing laparoscopic cholecystectomy (LC). GoNoGoNet is an artificial intelligence (AI) algorithm that has been developed and validated to identify safe ("Go") and dangerous ("No-Go") zones of dissection during LC, with the potential to prevent BDIs through real-time intraoperative decision-support. This study evaluates GoNoGoNet's ability to predict Go/No-Go zones during LCs with BDIs. METHODS AND PROCEDURES Eleven LC videos with BDI (BDI group) were annotated by GoNoGoNet. All tool-tissue interactions, including the one that caused the BDI, were characterized in relation to the algorithm's predicted location of Go/No-Go zones. These were compared to another 11 LC videos with cholecystitis (control group) deemed to represent "safe cholecystectomy" by experts. The probability threshold of GoNoGoNet annotations were then modulated to determine its relationship to Go/No-Go predictions. Data is shown as % difference [99% confidence interval]. RESULTS Compared to control, the BDI group showed significantly greater proportion of sharp dissection (+ 23.5% [20.0-27.0]), blunt dissection (+ 32.1% [27.2-37.0]), and total interactions (+ 33.6% [31.0-36.2]) outside of the Go zone. Among injury-causing interactions, 4 (36%) were in the No-Go zone, 2 (18%) were in the Go zone, and 5 (45%) were outside both zones, after maximizing the probability threshold of the Go algorithm. CONCLUSION AI has potential to detect unsafe dissection and prevent BDIs through real-time intraoperative decision-support. More work is needed to determine how to optimize integration of this technology into the operating room workflow and adoption by end-users.
Collapse
Affiliation(s)
- Muhammad Uzair Khalid
- Temerty Faculty of Medicine, University of Toronto, Medical Sciences Building, 1 King's College Circle, Toronto, ON, M5S 1A8, Canada.
- Surgical Artificial Intelligence Research Academy, University Health Network, Toronto, ON, Canada.
| | - Simon Laplante
- Surgical Artificial Intelligence Research Academy, University Health Network, Toronto, ON, Canada
- Department of Surgery, University of Toronto, Toronto, ON, Canada
| | - Caterina Masino
- Surgical Artificial Intelligence Research Academy, University Health Network, Toronto, ON, Canada
| | - Adnan Alseidi
- Department of Surgery, University of California, San Francisco, San Francisco, CA, USA
| | - Shiva Jayaraman
- Department of Surgery, University of Toronto, Toronto, ON, Canada
- Department of Surgery, St Joseph's Health Centre, Toronto, ON, Canada
| | - Haochi Zhang
- DATA Team, University Health Network, Toronto, ON, Canada
| | | | - Sergey Protserov
- DATA Team, University Health Network, Toronto, ON, Canada
- Department of Computer Science, University of Toronto, Toronto, ON, Canada
| | - Jaryd Hunter
- DATA Team, University Health Network, Toronto, ON, Canada
| | - Michael Brudno
- DATA Team, University Health Network, Toronto, ON, Canada
- Department of Computer Science, University of Toronto, Toronto, ON, Canada
| | - Amin Madani
- Surgical Artificial Intelligence Research Academy, University Health Network, Toronto, ON, Canada
- Department of Surgery, University of Toronto, Toronto, ON, Canada
| |
Collapse
|
11
|
Eckhoff JA, Rosman G, Altieri MS, Speidel S, Stoyanov D, Anvari M, Meier-Hein L, März K, Jannin P, Pugh C, Wagner M, Witkowski E, Shaw P, Madani A, Ban Y, Ward T, Filicori F, Padoy N, Talamini M, Meireles OR. SAGES consensus recommendations on surgical video data use, structure, and exploration (for research in artificial intelligence, clinical quality improvement, and surgical education). Surg Endosc 2023; 37:8690-8707. [PMID: 37516693 PMCID: PMC10616217 DOI: 10.1007/s00464-023-10288-3] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2023] [Accepted: 07/05/2023] [Indexed: 07/31/2023]
Abstract
BACKGROUND Surgery generates a vast amount of data from each procedure. Particularly video data provides significant value for surgical research, clinical outcome assessment, quality control, and education. The data lifecycle is influenced by various factors, including data structure, acquisition, storage, and sharing; data use and exploration, and finally data governance, which encompasses all ethical and legal regulations associated with the data. There is a universal need among stakeholders in surgical data science to establish standardized frameworks that address all aspects of this lifecycle to ensure data quality and purpose. METHODS Working groups were formed, among 48 representatives from academia and industry, including clinicians, computer scientists and industry representatives. These working groups focused on: Data Use, Data Structure, Data Exploration, and Data Governance. After working group and panel discussions, a modified Delphi process was conducted. RESULTS The resulting Delphi consensus provides conceptualized and structured recommendations for each domain related to surgical video data. We identified the key stakeholders within the data lifecycle and formulated comprehensive, easily understandable, and widely applicable guidelines for data utilization. Standardization of data structure should encompass format and quality, data sources, documentation, metadata, and account for biases within the data. To foster scientific data exploration, datasets should reflect diversity and remain adaptable to future applications. Data governance must be transparent to all stakeholders, addressing legal and ethical considerations surrounding the data. CONCLUSION This consensus presents essential recommendations around the generation of standardized and diverse surgical video databanks, accounting for multiple stakeholders involved in data generation and use throughout its lifecycle. Following the SAGES annotation framework, we lay the foundation for standardization of data use, structure, and exploration. A detailed exploration of requirements for adequate data governance will follow.
Collapse
Affiliation(s)
- Jennifer A Eckhoff
- Surgical Artificial Intelligence and Innovation Laboratory, Department of Surgery, Massachusetts General Hospital, 15 Parkman Street, WAC339, Boston, MA, 02114, USA.
- Department of General, Visceral, Tumor and Transplant Surgery, University Hospital Cologne, Kerpenerstrasse 62, 50937, Cologne, Germany.
| | - Guy Rosman
- Surgical Artificial Intelligence and Innovation Laboratory, Department of Surgery, Massachusetts General Hospital, 15 Parkman Street, WAC339, Boston, MA, 02114, USA
- Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, 32 Vassar St, Cambridge, MA, 02139, USA
| | - Maria S Altieri
- Stony Brook University Hospital, Washington University in St. Louis, 101 Nicolls Rd, Stony Brook, NY, 11794, USA
| | - Stefanie Speidel
- National Center for Tumor Diseases (NCT), Fiedlerstraße 23, 01307, Dresden, Germany
| | - Danail Stoyanov
- University College London, 43-45 Foley Street, London, W1W 7TY, UK
| | - Mehran Anvari
- Center for Surgical Invention and Innovation, Department of Surgery, McMaster University, Hamilton, ON, Canada
| | - Lena Meier-Hein
- German Cancer Research Center, Deutsches Krebsforschungszentrum (DKFZ), Im Neuenheimer Feld 280, 69120, Heidelberg, Germany
| | - Keno März
- German Cancer Research Center, Deutsches Krebsforschungszentrum (DKFZ), Im Neuenheimer Feld 280, 69120, Heidelberg, Germany
| | - Pierre Jannin
- MediCIS, University of Rennes - Campus Beaulieu, 2 Av. du Professeur Léon Bernard, 35043, Rennes, France
| | - Carla Pugh
- Department of Surgery, Stanford School of Medicine, 291 Campus Drive, Stanford, CA, 94305, USA
| | - Martin Wagner
- Department of Surgery, University Hospital Heidelberg, Im Neuenheimer Feld 420, 69120, Heidelberg, Germany
| | - Elan Witkowski
- Surgical Artificial Intelligence and Innovation Laboratory, Department of Surgery, Massachusetts General Hospital, 15 Parkman Street, WAC339, Boston, MA, 02114, USA
| | - Paresh Shaw
- New York University Langone, 530 1St Ave. Floor 12, New York, NY, 10016, USA
| | - Amin Madani
- Surgical Artifcial Intelligence Research Academy, Department of Surgery, University Health Network, Toronto, ON, Canada
| | - Yutong Ban
- Surgical Artificial Intelligence and Innovation Laboratory, Department of Surgery, Massachusetts General Hospital, 15 Parkman Street, WAC339, Boston, MA, 02114, USA
- Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, 32 Vassar St, Cambridge, MA, 02139, USA
| | - Thomas Ward
- Surgical Artificial Intelligence and Innovation Laboratory, Department of Surgery, Massachusetts General Hospital, 15 Parkman Street, WAC339, Boston, MA, 02114, USA
| | - Filippo Filicori
- Intraoperative Performance Analytics Laboratory (IPAL), Department of General Surgery, Northwell Health, Lenox Hill Hospital, New York, NY, USA
| | - Nicolas Padoy
- Ihu Strasbourg - Institute Surgery Guided Par L'image, 1 Pl. de L'Hôpital, 67000, Strasbourg, France
| | - Mark Talamini
- Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA
| | - Ozanan R Meireles
- Surgical Artificial Intelligence and Innovation Laboratory, Department of Surgery, Massachusetts General Hospital, 15 Parkman Street, WAC339, Boston, MA, 02114, USA
| |
Collapse
|
12
|
Al-Halabi B, Madani A, Alabdulkarim A, Vassiliou M, Gilardino M. Defining Cognitive Competencies for Breast Augmentation Surgery. J Surg Educ 2023; 80:873-883. [PMID: 37105861 DOI: 10.1016/j.jsurg.2023.03.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/12/2022] [Accepted: 03/17/2023] [Indexed: 05/23/2023]
Abstract
BACKGROUND Breast augmentation is the most performed aesthetic procedure in the United States yet one that surgical trainees have limited exposure to. This creates a lack of confidence in performing this key procedure among graduates. It is imperative to develop novel curricula and objective measures to standardize acquiring competency. OBJECTIVE This qualitative study establishes various cognitive competencies and pitfalls in augmentation mammoplasty. METHODS Using a priori established task analysis, literary sources and operative observations, a total of 20 cognitive vignettes were developed to conduct cognitive task analyses (CTA) for breast augmentation through semistructured interviews of experts. Interviews were itemized, and verbal data were recorded, transcribed verbatim, and thematically analyzed by reviewers. RESULTS Eight experts were interviewed (median age 39 years, 87.5% males, with a median of 7 years in practice). A conceptual framework for breast augmentation was developed and divided into 5 operative stages containing 208 competencies and 41 pitfalls. Pitfalls were mapped to deficits in shared decision making, proper informed consent, prospective hemostasis, and awareness of anatomical landmarks and markings. CONCLUSIONS This work provided an inclusive framework of cognitive competencies in breast augmentation surgery to facilitate their assessment. This model guides the analysis of other procedures to transfer cognitive competencies to learners. In a transition toward competency-based education, this provides a primer to assessments that include all aspects of a surgeon's skill set.
Collapse
Affiliation(s)
- Becher Al-Halabi
- Division of Plastic and Reconstructive Surgery, McGill University Health Centre, Montreal, Quebec, Canada; Steinberg-Bernstein Centre for Minimally Invasive Surgery, McGill University Health Centre, Montreal, Quebec, Canada.
| | - Amin Madani
- Steinberg-Bernstein Centre for Minimally Invasive Surgery, McGill University Health Centre, Montreal, Quebec, Canada; Department of Surgery, McGill University Health Centre, Montreal, Quebec, Canada
| | - Abdulaziz Alabdulkarim
- Plastic Surgery, Surgery Department, College of Medicine, Prince Sattam Bin Abdulaziz University, Al Kharj, Saudi Arabia
| | - Melina Vassiliou
- Steinberg-Bernstein Centre for Minimally Invasive Surgery, McGill University Health Centre, Montreal, Quebec, Canada; Department of Surgery, McGill University Health Centre, Montreal, Quebec, Canada
| | - Mirko Gilardino
- Division of Plastic and Reconstructive Surgery, McGill University Health Centre, Montreal, Quebec, Canada
| |
Collapse
|
13
|
Medas F, Dobrinja C, Al-Suhaimi EA, Altmeier J, Anajar S, Arikan AE, Azaryan I, Bains L, Basili G, Bolukbasi H, Bononi M, Borumandi F, Bozan MB, Brenta G, Brunaud L, Brunner M, Buemi A, Canu GL, Cappellacci F, Cartwright SB, Castells Fusté I, Cavalheiro B, Cavallaro G, Chala A, Chan SYB, Chaplin J, Cheema MS, Chiapponi C, Chiofalo MG, Chrysos E, D'Amore A, de Cillia M, De Crea C, de Manzini N, de Matos LL, De Pasquale L, Del Rio P, Demarchi MS, Dhiwakar M, Donatini G, Dora JM, D'Orazi V, Doulatram Gamgaram VK, Eismontas V, Kabiri EH, El Malki HO, Elzahaby I, Enciu O, Eskander A, Feroci F, Figueroa-Bohorquez D, Filis D, François G, Frías-Fernández P, Gamboa-Dominguez A, Genc V, Giordano D, Gómez-Pedraza A, Graceffa G, Griffin J, Guerreiro SC, Gupta K, Gupta KK, Gurrado A, Hajiioannou J, Hakala T, Harahap WA, Hargitai L, Hartl D, Hellmann A, Hlozek J, Hoang VT, Iacobone M, Innaro N, Ioannidis O, Jang JHI, Xavier-Junior JC, Jovanovic M, Kaderli RM, Kakamad F, Kaliszewski K, Karamanliev M, Katoh H, Košec A, Kovacevic B, Kowalski LP, Králik R, Yadav SK, Kumorová A, Lampridis S, Lasithiotakis K, Leclere JC, Leong EKF, Leow MKS, Lim JY, Lino-Silva LS, Liu SYW, Llorach NP, Lombardi CP, López-Gómez J, Lori E, Quintanilla-Dieck L, Lucchini R, Madani A, Manatakis D, Markovic I, Materazzi G, Mazeh H, Mercante G, Meyer-Rochow GY, Mihaljevic O, Miller JA, Minuto M, Monacelli M, Mulita F, Mullineris B, Muñoz-de-Nova JL, Muradás Girardi F, Nader S, Napadon T, Nastos C, Offi C, Ronen O, Oragano L, Orois A, Pan Y, Panagiotidis E, Panchangam RB, Papavramidis T, Parida PK, Paspala A, Pérez ÒV, Petrovic S, Raffaelli M, Ramacciotti CF, Ratia Gimenez T, Rivo Vázquez Á, Roh JL, Rossi L, Sanabria A, Santeerapharp A, Semenov A, Seneviratne S, Serdar A, Sheahan P, Sheppard SC, Slotcavage RL, Smaxwil C, Kim SY, Sorrenti S, Spartalis E, Sriphrapradang C, Testini M, Turk Y, Tzikos G, Vabalayte K, Vargas-Osorio K, Vázquez Rentería RS, Velázquez-Fernández D, Vithana SMP, Yücel L, Yulian ED, Zahradnikova P, Zarogoulidis P, Ziablitskaia E, Zolotoukho A, Calò PG. Effect of the COVID-19 pandemic on surgery for indeterminate thyroid nodules (THYCOVID): a retrospective, international, multicentre, cross-sectional study. Lancet Diabetes Endocrinol 2023; 11:402-413. [PMID: 37127041 PMCID: PMC10147315 DOI: 10.1016/s2213-8587(23)00094-3] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/02/2023] [Revised: 03/02/2023] [Accepted: 03/15/2023] [Indexed: 05/03/2023]
Abstract
BACKGROUND Since its outbreak in early 2020, the COVID-19 pandemic has diverted resources from non-urgent and elective procedures, leading to diagnosis and treatment delays, with an increased number of neoplasms at advanced stages worldwide. The aims of this study were to quantify the reduction in surgical activity for indeterminate thyroid nodules during the COVID-19 pandemic; and to evaluate whether delays in surgery led to an increased occurrence of aggressive tumours. METHODS In this retrospective, international, cross-sectional study, centres were invited to participate in June 22, 2022; each centre joining the study was asked to provide data from medical records on all surgical thyroidectomies consecutively performed from Jan 1, 2019, to Dec 31, 2021. Patients with indeterminate thyroid nodules were divided into three groups according to when they underwent surgery: from Jan 1, 2019, to Feb 29, 2020 (global prepandemic phase), from March 1, 2020, to May 31, 2021 (pandemic escalation phase), and from June 1 to Dec 31, 2021 (pandemic decrease phase). The main outcomes were, for each phase, the number of surgeries for indeterminate thyroid nodules, and in patients with a postoperative diagnosis of thyroid cancers, the occurrence of tumours larger than 10 mm, extrathyroidal extension, lymph node metastases, vascular invasion, distant metastases, and tumours at high risk of structural disease recurrence. Univariate analysis was used to compare the probability of aggressive thyroid features between the first and third study phases. The study was registered on ClinicalTrials.gov, NCT05178186. FINDINGS Data from 157 centres (n=49 countries) on 87 467 patients who underwent surgery for benign and malignant thyroid disease were collected, of whom 22 974 patients (18 052 [78·6%] female patients and 4922 [21·4%] male patients) received surgery for indeterminate thyroid nodules. We observed a significant reduction in surgery for indeterminate thyroid nodules during the pandemic escalation phase (median monthly surgeries per centre, 1·4 [IQR 0·6-3·4]) compared with the prepandemic phase (2·0 [0·9-3·7]; p<0·0001) and pandemic decrease phase (2·3 [1·0-5·0]; p<0·0001). Compared with the prepandemic phase, in the pandemic decrease phase we observed an increased occurrence of thyroid tumours larger than 10 mm (2554 [69·0%] of 3704 vs 1515 [71·5%] of 2119; OR 1·1 [95% CI 1·0-1·3]; p=0·042), lymph node metastases (343 [9·3%] vs 264 [12·5%]; OR 1·4 [1·2-1·7]; p=0·0001), and tumours at high risk of structural disease recurrence (203 [5·7%] of 3584 vs 155 [7·7%] of 2006; OR 1·4 [1·1-1·7]; p=0·0039). INTERPRETATION Our study suggests that the reduction in surgical activity for indeterminate thyroid nodules during the COVID-19 pandemic period could have led to an increased occurrence of aggressive thyroid tumours. However, other compelling hypotheses, including increased selection of patients with aggressive malignancies during this period, should be considered. We suggest that surgery for indeterminate thyroid nodules should no longer be postponed even in future instances of pandemic escalation. FUNDING None.
Collapse
Affiliation(s)
- Fabio Medas
- Department of Surgical Sciences, University of Cagliari, Cagliari, Italy.
| | - Chiara Dobrinja
- Department of Medical and Surgical Sciences, University of Trieste, Cattinara Teaching Hospital, Trieste, Italy
| | - Ebtesam Abdullah Al-Suhaimi
- Biology Department, College of Science, Institute for Research and Medical Consultations, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia
| | - Julia Altmeier
- Endocrine Surgery, Diakonie-Klinikum Stuttgart, Stuttgart, Germany
| | - Said Anajar
- Department of Otolaryngology-Head and Neck Surgery, Cheikh Khalifa International University Hospital, Mohammed VI University of Health Sciences, Casablanca, Morocco
| | - Akif Enes Arikan
- Department of General Surgery, Acibadem Mehmet Ali Aydinlar University, School of Medicine, Istanbul, Türkiye
| | - Irina Azaryan
- Division of Endocrinology, Diabetes and Metabolism, Department of Internal Medicine, The Ohio State University Wexner Medical Center, Columbus, OH, USA
| | - Lovenish Bains
- Department of Surgery, Maulana Azad Medical College, New Delhi, India
| | - Giancarlo Basili
- Azienda USL Toscana Nord-Ovest, UOSD Chirurgia della Tiroide, Toscana, Italy
| | - Hakan Bolukbasi
- General Surgery, University of Health Sciences, Kanuni Sultan Suleyman Training and Research Hospital, Istanbul, Türkiye
| | - Marco Bononi
- Dipartimento di Chirurgia Pietro Valdoni, Policlinico Umberto I Sapienza, Rome, Italy
| | - Farzad Borumandi
- Department of Oral and Maxillofacial Surgery, University Hospitals Sussex NHS Foundation Trust, St Richard's Hospital, Chichester and Worthing Hospital, Worthing, UK
| | - Mehmet Buğra Bozan
- General Surgery, Kahramanmaras Sutcu Imam University, Faculty of Medicine, Kahramanmaras, Türkiye
| | - Gabriela Brenta
- Endocrinology Department, Unidad Asistencial Dr César Milstein, Buenos Aires, Argentina
| | - Laurent Brunaud
- Department of Surgery CVMC, CHU Nancy-Brabois, Université de Lorraine, Nancy, France
| | - Maximilian Brunner
- Department of General and Visceral Surgery, Friedrich-Alexander-University Erlangen-Nuremberg, Erlangen, Germany
| | - Antoine Buemi
- Department of Surgery, Cliniques Universitaires Saint Luc, Bruxelles, Belgium
| | - Gian Luigi Canu
- Department of Surgical Sciences, University of Cagliari, Cagliari, Italy
| | | | | | | | - Beatriz Cavalheiro
- Departamento de Cirurgia de Cabeça e Pescoço, Hospital São Camilo Oncologia-Instituto Brasileiro de Controle do Câncer, São Paulo, Brazil
| | | | - Andres Chala
- Head and Neck Department Oncologos del Occidente, Universidad de Caldas, Manizales, Colombia
| | - Shun Yan Bryant Chan
- Department of Surgery, Tseung Kwan O Hospital, Hong Kong Special Administrative Region, China
| | - John Chaplin
- Department of Otolaryngology Head and Neck Surgery, Auckland City Hospital, Auckland, New Zealand
| | | | - Costanza Chiapponi
- Department of General, Visceral, Cancer and Transplant Surgery, University Hospital Cologne, Cologne, Germany; Department of Endocrine Surgery, Evangelisches Klinikum Cologne Weyertal, Cologne, Germany
| | - Maria Grazia Chiofalo
- Head and Neck Cancer Medical Oncology Department, Istituto Nazionale Tumori, IRCCS Fondazione G Pascale, Napoli, Italy
| | - Emmanuel Chrysos
- Department of Surgery, University Hospital of Heraklion, Medical School, University of Crete, Crete, Greece
| | - Annamaria D'Amore
- Division of Endocrine Surgery, Department of Gastroenterologic, Endocrine-Metabolic and Nephro-Urologic Sciences, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy
| | - Michael de Cillia
- Department of Surgery, Saint John of God Hospital, Salzburg, Austria
| | - Carmela De Crea
- UOC Chirurgia Endocrina e Metabolica, Fondazione Policlinico Universitario A Gemelli IRCCS, Rome, Italy
| | - Nicolò de Manzini
- Department of Medical and Surgical Sciences, University of Trieste, Cattinara Teaching Hospital, Trieste, Italy
| | - Leandro Luongo de Matos
- Department of Head and Neck Surgery, Hospital das Clínicas, University of São Paulo, São Paulo, Brazil
| | - Loredana De Pasquale
- Thyroid and Parathyroid Surgery Unit-Otolaryngology Unit, ASST Santi Paolo e Carlo, Department of Health Sciences, Università degli Studi di Milano, Milan, Italy
| | - Paolo Del Rio
- General Surgery Unit, Department of Medicine and Surgery, Parma University Hospital, Parma, Italy
| | - Marco Stefano Demarchi
- Department of Thoracic and Endocrine Surgery, Geneva University Hospitals and University of Geneva, Geneva, Switzerland
| | - Muthuswamy Dhiwakar
- Department of Otolaryngology-Head and Neck Surgery, Kovai Medical Center and Hospital, Coimbatore, India
| | | | - Jose Miguel Dora
- Thyroid Unit, Hospital de Clínicas de Porto Alegre and Federal University of Rio Grande do Sul, Porto Alegre, Brazil
| | - Valerio D'Orazi
- Department of Surgical Sciences, Sapienza University of Rome, Rome, Italy; Division of General Surgery-Section of Endocrine and Diabetic Foot Surgery, "Fabia Mater" Hospital, Rome, Italy
| | | | - Vitalijus Eismontas
- Department of Surgery, Klaipeda University Hospital, Klaipeda, Lithuania; Health Research and Innovation Science Center, Faculty of Health Sciences, Klaipeda University, Klaipeda, Lithuania
| | - El Hassane Kabiri
- Department of Thoracic Surgery, Mohammed V Military Teaching Hospital, Rabat, Morocco
| | - Hadj Omar El Malki
- Surgery Department 'A', Ibn Sina Hospital, Medical School, Mohammed V University, Rabat, Morocco
| | | | - Octavian Enciu
- Elias University Emergency Hospital, Carol Davila University of Medicine and Pharmacy, Bucharest, Romania
| | - Antoine Eskander
- Department of Otolaryngology-Head and Neck Surgery, University of Toronto, Toronto, ON, Canada
| | - Francesco Feroci
- Department of Surgery, General Surgery Unit, S Stefano Hospital, Prato, Italy
| | | | - Dimitrios Filis
- Department of Surgery, Saint Andrew Hospital of Patras, Patras, Greece
| | - Gorostidi François
- Otolaryngology and Head and Neck Surgery, Centre Hospitalier Universitaire Vaudois, Lausanne, Switzerland
| | | | - Armando Gamboa-Dominguez
- Departamento de Patología, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico
| | - Volkan Genc
- Department of Surgery, Ankara University Faculty of Medicine, Ankara, Turkey
| | - Davide Giordano
- Otorhinolaryngology Unit, Azienda USL-IRCCS di Reggio Emilia, Reggio Emilia, Italy
| | | | - Giuseppa Graceffa
- Department of Surgical, Oncological and Oral Sciences, University of Palermo, Palermo, Italy
| | - James Griffin
- Otolaryngology, Midlands Regional Hospital Tullamore, Tullamore, Ireland
| | - Sofia Cuco Guerreiro
- Endocrine Surgery, University Hospital Center of Central Lisbon, Hospital Curry Cabral, Lisboa, Portugal
| | - Karan Gupta
- Department of Head and Neck Surgery, Medanta, Gurugram, India
| | - Keshav Kumar Gupta
- Department of ENT, University Hospitals Birmingham NHS Trust, Birmingham, UK
| | - Angela Gurrado
- Department of Precision and Regenerative Medicine and Ionian Area, University of Bari "Aldo Moro", Bari, Italy
| | | | - Tommi Hakala
- Department of Surgery, Tampere University Hospital, Tampere, Finland
| | - Wirsma Arif Harahap
- Department of Surgery, Faculty of Medicine, Universitas Andalas, Padang City, Indonesia
| | - Lindsay Hargitai
- Department of General Surgery, Division of Visceral Surgery, Medical University Vienna, Vienna, Austria
| | - Dana Hartl
- Department of Surgery, Anesthesia and Interventional Radiology, Head and Neck Oncology Service, Thyroid Surgery Unit, Gustave Roussy, Villejuif, France
| | - Andrzej Hellmann
- Department of General, Endocrine and Transplant Surgery, Medical University of Gdańsk, Gdańsk, Poland
| | - Jiri Hlozek
- Department of Otorhinolaryngology and Maxillofacial Surgery, Military University Hospital, Prague, Czech Republic; Third Faculty of Medicine, Charles University, Prague, Czech Republic
| | - Van Trung Hoang
- Department of Radiology, Thien Hanh Hospital, Buon Ma Thuot, Vietnam
| | - Maurizio Iacobone
- Endocrine Surgery Unit, Department of Surgery, Oncology and Gastroenterology, University of Padova, Padova, Italy
| | - Nadia Innaro
- Unit of Endocrine Surgery, AOU Mater Domini, Catanzaro, Italy
| | - Orestis Ioannidis
- Fourth Department of Surgery, Medical School, Aristotle University of Thessaloniki, General Hospital "Georgios Papanikolaou", Thessaloniki, Greece
| | - J H Isabelle Jang
- Department of Otorhinolaryngology-Head and Neck Surgery, Singapore General Hospital, Singapore
| | | | - Milan Jovanovic
- Clinic for Endocrine Surgery, University Clinical Center of Serbia, Belgrade, Serbia; School of Medicine, Belgrade, Serbia
| | - Reto Martin Kaderli
- Department of Visceral Surgery and Medicine, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Fahmi Kakamad
- Department of Scientific Affairs, Smart Health Tower, Sulaimani, Iraq
| | - Krzysztof Kaliszewski
- Department of General, Minimally Invasive and Endocrine Surgery, Wroclaw Medical University, Wroclaw, Poland
| | - Martin Karamanliev
- Department of Surgical Oncology, University Hospital "Georgi Stranski", Faculty of Medicine, Medical University of Pleven, Pleven, Bulgaria
| | - Hiroshi Katoh
- Department of Breast and Endocrine Surgery, Kitasato University Hospital, Sagamihara, Japan
| | - Andro Košec
- Department of Otorhinolaryngology and Head and Neck Surgery, University Hospital Center Sestre Milosrdnice, Zagreb, Croatia
| | - Bozidar Kovacevic
- Institute of Pathology and Forensic Medicine, Medical Military Academy, Belgrade, Serbia
| | - Luiz Paulo Kowalski
- Department of Head and Neck Surgry and Otorhinolaryngology, AC Camargo Cancer Center, São Paulo, Brazil
| | - Robert Králik
- Department of Surgical Oncology, St Elisabeth Cancer Institute, Medical Faculty of Comenius University, Bratislava, Slovakia
| | | | - Adriána Kumorová
- Clinic of Otorhinolaryngology and Head and Neck Surgery, Central Military Hospital Ružomberok, Ružomberok, Slovakia
| | - Savvas Lampridis
- Department of Thoracic Surgery, 424 General Military Hospital, Thessaloniki, Greece
| | - Konstantinos Lasithiotakis
- Department of Surgery, University Hospital of Heraklion, Medical School, University of Crete, Crete, Greece
| | | | | | | | - James Y Lim
- Department of Surgery and Otolaryngology, Oregon Health and Science University, Portland, OR, USA
| | | | - Shirley Yuk Wah Liu
- Department of Surgery, Chinese University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Núria Perucho Llorach
- Unit of Endocrine Surgery Head and Neck Parc Tauli, Hospital Universitari, Sabadell, Spain
| | - Celestino Pio Lombardi
- Division of Endocrine Surgery, Department of Gastroenterologic, Endocrine-Metabolic and Nephro-Urologic Sciences, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy
| | - Javier López-Gómez
- Head and Neck Department, Hospital de Oncología Centro Médico Nacional Siglo XXI, Mexico City, Mexico
| | - Eleonora Lori
- Department of Surgical Sciences, Sapienza University of Rome, Rome, Italy
| | - Lourdes Quintanilla-Dieck
- Department of Pediatric Otolaryngology, Head and Neck Surgery, Oregon Health and Science University, Portland, OR, USA
| | - Roberta Lucchini
- Endocrine Surgery Unit, University of Perugia, Santa Maria Hospital, Terni, Italy
| | - Amin Madani
- Department of Surgery, University of Toronto, Toronto, ON, Canada
| | - Dimitrios Manatakis
- Second Department of Surgery, Athens Naval and Veterans Hospital, Athens, Greece
| | - Ivan Markovic
- Clinic for Surgical Oncology, Institute of Oncology and Radiology of Serbia, Belgrade, Serbia
| | | | - Haggi Mazeh
- Department of Surgery, Hadassah Medical Center, Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem, Israel
| | - Giuseppe Mercante
- Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, Italy; Department of Otorhinolaryngology-Head and Neck Surgery, IRCCS Humanitas Research Hospital, Rozzano, Italy
| | | | - Olgica Mihaljevic
- Department of Pathophysiology, Faculty of Medical Sciences, University of Kragujevac, Kragujevac, Serbia
| | - Julie A Miller
- The Royal Melbourne Hospital and Epworth Hospital, Melbourne, VIC, Australia
| | - Michele Minuto
- Department of Surgical Sciences and Integrated Diagnostics, University of Genoa, Genova, Italy
| | | | - Francesk Mulita
- Department of Surgery, General University Hospital of Patras, Patras, Greece
| | - Barbara Mullineris
- Department of General, Emergency and New Technologies, University Hospital of Modena, Baggiovara Civil Hospital, Modena, Italy
| | - José Luis Muñoz-de-Nova
- Department of General and Digestive Surgery, Hospital Universitario de La Princesa, Madrid, Spain
| | | | - Saki Nader
- Otolaryngology Department, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | | | | | - Chiara Offi
- Department of Endocrine and Ultrasound-Guided Surgery, Ospedale del Mare, ASl Napoli 1 Centro, Naples, Italy
| | - Ohad Ronen
- Galilee Medical Center, Azrieli Faculty of Medicine Bar Ilan University, Safed, Israel
| | | | - Aida Orois
- Department of Endocrinology and Nutrition, Hospital Universitari Mútua Terrassa, Terrassa, Spain
| | - Yongqin Pan
- Department of Thyroid Surgery, The First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Emmanouil Panagiotidis
- Department of Nuclear Medicine/PET CT, Theageneio Cancer Hospital of Thessaloniki, Thessaloniki, Greece
| | | | - Theodosios Papavramidis
- First Propedeutic Department of Surgery, Aristotle University of Thessaloniki, AHEPA University Hospital, Thessaloniki, Greece
| | - Pradipta Kumar Parida
- Department of ENT-Head and Neck Surgery, All India Institute of Medical Sciences, Bhubaneswar, India
| | - Anna Paspala
- Department of Surgery, Eugenideio Hospital, Athens, Greece
| | - Òscar Vidal Pérez
- General Surgery Department, Universitat de Barcelona, Hospital Clínic de Barcelona, Barcelona, Spain
| | | | - Marco Raffaelli
- UOC Chirurgia Endocrina e Metabolica, Fondazione Policlinico Universitario A Gemelli IRCCS, Rome, Italy
| | | | - Tomas Ratia Gimenez
- General Surgery, Hospital Universitario Principe de Asturias, Alcala de Henares, Spain
| | - Ángel Rivo Vázquez
- Department of General and Digestive Surgery, Division of Endocrine Surgery, Complexo Hospitalario Universitario de Vigo, Vigo, Spain
| | - Jong-Lyel Roh
- Department of Otorhinolaryngology-Head and Neck Surgery, CHA Bundang Medical Center, CHA University, Seongnam, South Korea
| | - Leonardo Rossi
- Endocrine Surgery Unit, University Hospital of Pisa, Pisa, Italy
| | - Alvaro Sanabria
- Department of Surgery, Universidad de Antioquia, CEXCA Centro de Excelencia en Enfermedades de Cabeza y Cuello, Medellín, Colombia
| | - Alena Santeerapharp
- Department of Otolaryngology-Head and Neck Surgery, Faculty of Medicine, Srinakharinwirot University, Bangkok, Thailand
| | - Arseny Semenov
- Endocrine Surgery Department, Saint Petersburg State University Hospital, Saint Petersburg, Russia
| | | | - Altinay Serdar
- Department of Endocrin Pathology Unit, University of Health Sciences, Faculty of Medicine, Bakırköy Dr Sadi Konuk Training and Research Hospital, Istanbul, Turkey
| | | | - Sean C Sheppard
- Department of Otorhinolaryngology and Head and Neck Surgery, University Hospital of Nîmes, Nîmes, France
| | - Rachel L Slotcavage
- Department of Surgery and Department of Internal Medicine, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | | | - Soo Young Kim
- Department of Surgery, Ajou University School of Medicine, Suwon, South Korea
| | - Salvatore Sorrenti
- Department of Surgical Sciences, Sapienza University of Rome, Rome, Italy
| | | | - Chutintorn Sriphrapradang
- Department of Medicine, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand
| | - Mario Testini
- Department of Precision and Regenerative Medicine and Ionian Area, University of Bari "Aldo Moro", Bari, Italy
| | - Yigit Turk
- Division of Endocrine Surgery, General Surgery Department, Ege University Hospital, Izmir, Turkey
| | - George Tzikos
- First Propedeutic Department of Surgery, Aristotle University of Thessaloniki, AHEPA University Hospital, Thessaloniki, Greece
| | - Kristina Vabalayte
- Endocrine Surgery Department, Saint Petersburg State University Hospital, Saint Petersburg, Russia
| | - Kelly Vargas-Osorio
- Clinical University Hospital Santiago de Compostela University of Santiago de Compostela, Santiago de Compostela, Spain
| | | | - David Velázquez-Fernández
- Endocrine Surgery Unit, Department of Surgery, National Institute for Medical Sciences and Nutrition, Mexico City, Mexico
| | | | - Levent Yücel
- Department of Otorhinolaryngology, University of Health Sciences, Gülhane Research and Training Hospital, Ankara, Turkey
| | - Erwin Danil Yulian
- Division of Surgical Oncology, Department of Surgery, Dr Cipto Mangunkusumo General Hospital, Jakarta, Indonesia
| | - Petra Zahradnikova
- Department of Paediatric Surgery, Medical Faculty of Comenius University, National Institute of Children's Diseases, Bratislava, Slovakia
| | - Paul Zarogoulidis
- Third Surgery Department, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Evgeniia Ziablitskaia
- Central Research Laboratory, Clinical Medical Multidisciplinary Center of St Luke VI Vernadsky Crimean Federal University, Simferopol, Russia
| | - Anna Zolotoukho
- Endocrine Surgery Department, Saint Petersburg State University Hospital, Saint Petersburg, Russia
| | | |
Collapse
|
14
|
Benmoussa A, Moukrim I, Khoubila N, Cherkaoui S, Lmchaheb M, Qachouh M, Rachid M, Madani A. [Primary renal marginal zone B lymphoma]. Rev Med Liege 2023; 78:121-123. [PMID: 36924147] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 03/18/2023]
Abstract
Primary renal marginal zone B lymphoma is extremely rare. The renal involvement by the lymphoma is most often a manifestation of a disseminated disease. We report the case of a 53-year-old patient who presented lower back pain and kidney failure. The renal biopsy showed a marginal zone B lymphoma type MALT and the PET scan showed bilateral renal involvement. A treatment based on rituximab combined with chemotherapy (cyclophosphamide, prednisone and oncovin) was started with good outcome.
Collapse
Affiliation(s)
- Amine Benmoussa
- Service d'Hématologie clinique et d'Oncologie pédiatrique, Faculté de Médecine et de Pharmacie Hassan II Casablanca, CHU 20 Août, Casablance, Maroc
| | - I Moukrim
- Service d'Hématologie clinique et d'Oncologie pédiatrique, Faculté de Médecine et de Pharmacie Hassan II Casablanca, CHU 20 Août, Casablance, Maroc
| | - N Khoubila
- Service d'Hématologie clinique et d'Oncologie pédiatrique, Faculté de Médecine et de Pharmacie Hassan II Casablanca, CHU 20 Août, Casablance, Maroc
| | - S Cherkaoui
- Service d'Hématologie clinique et d'Oncologie pédiatrique, Faculté de Médecine et de Pharmacie Hassan II Casablanca, CHU 20 Août, Casablance, Maroc
| | - M Lmchaheb
- Service d'Hématologie clinique et d'Oncologie pédiatrique, Faculté de Médecine et de Pharmacie Hassan II Casablanca, CHU 20 Août, Casablance, Maroc
| | - M Qachouh
- Service d'Hématologie clinique et d'Oncologie pédiatrique, Faculté de Médecine et de Pharmacie Hassan II Casablanca, CHU 20 Août, Casablance, Maroc
| | - M Rachid
- Service d'Hématologie clinique et d'Oncologie pédiatrique, Faculté de Médecine et de Pharmacie Hassan II Casablanca, CHU 20 Août, Casablance, Maroc
| | - A Madani
- Service d'Hématologie clinique et d'Oncologie pédiatrique, Faculté de Médecine et de Pharmacie Hassan II Casablanca, CHU 20 Août, Casablance, Maroc
| |
Collapse
|
15
|
Grover K, Korenblit N, Babu A, Podolsky D, Carbonell A, Orenstein S, Pauli EM, Novitsky Y, Madani A, Sullivan M, Nieman D. Understanding How Experts Do It: A Conceptual Framework for the Open Transversus Abdominis Release Procedure. Ann Surg 2023; 277:498-505. [PMID: 36538631 DOI: 10.1097/sla.0000000000005756] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
BACKGROUND The safe and effective performance of a posterior component separation via a transversus abdominis release (TAR) requires intraoperative judgement and decision-making skills that are difficult to define, standardize, and teach. We herein present the first qualitative study which builds a framework upon which training and objective evaluation of a TAR can be based. METHODS Hierarchical and cognitive task analyses for a TAR procedure were performed using semistructured interviews of hernia experts to describe the thoughts and behaviors that exemplify optimal performance. Verbal data was recorded, transcribed, coded, and thematically analyzed. RESULTS A conceptual framework was synthesized based on literary sources (4 book chapters, 4 peer-reviewed articles, 3 online videos), 2 field observations, and interviews of 4 hernia experts [median 66 minutes (44-78)]. Subject matter experts practiced a median of 6.5 years (1.5-16) and have completed a median of 300 (60-500) TARs. After 5 rounds of inductive analysis, 80 subtasks, 86 potential errors, 36 cognitive behaviors, and 17 decision points were identified and categorized into 10 procedural steps (midline laparotomy, adhesiolysis, retrorectus dissection, etc.) and 9 fundamental principles: patient physiology and disease burden; tactical modification; tissue reconstruction and wound healing; task completion; choice of technique and instruments; safe planes and danger zones; exposure, ergonomics, environmental limitations; anticipation and forward planning; and tissue trauma and handling. CONCLUSION This is the first study to define the key tasks, decisions, and cognitive behaviors that are essential to a successful TAR procedure.
Collapse
Affiliation(s)
- Karan Grover
- Division of General Surgery, Rutgers Biomedical and Health Sciences-Robert Wood Johnson Medical School, New Brunswick, NJ
| | - Nechama Korenblit
- Division of General Surgery, Rutgers Biomedical and Health Sciences-Robert Wood Johnson Medical School, New Brunswick, NJ
| | - Archana Babu
- Division of General Surgery, Jefferson Medical Center, Philadelphia, PA
| | - Dina Podolsky
- Division of General Surgery, Columbia University Medical Center, New York, NY
| | - Alfredo Carbonell
- Department of Surgery, University of South Carolina School of Medicine-Greenville/Prisma Health, Greenville, SC
| | - Sean Orenstein
- Division of Gastrointestinal and General Surgery, Oregon Health and Science University School of Medicine, Portland, OR
| | - Eric M Pauli
- Department of Surgery, Penn State Hershey Medical Center, Hershey, PA
| | - Yuri Novitsky
- Division of General Surgery, Columbia University Medical Center, New York, NY
| | - Amin Madani
- Division of General Surgery, University Health Network - Toronto General Hospital, Toronto, Canada
| | - Maura Sullivan
- Surgical Skills Simulation and Education Center, Keck School of Medicine, Los Angeles, CA
| | - Dylan Nieman
- Division of General Surgery, Rutgers Biomedical and Health Sciences-Robert Wood Johnson Medical School, New Brunswick, NJ
| |
Collapse
|
16
|
Laplante S, Namazi B, Kiani P, Hashimoto DA, Alseidi A, Pasten M, Brunt LM, Gill S, Davis B, Bloom M, Pernar L, Okrainec A, Madani A. Validation of an artificial intelligence platform for the guidance of safe laparoscopic cholecystectomy. Surg Endosc 2023; 37:2260-2268. [PMID: 35918549 DOI: 10.1007/s00464-022-09439-9] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2022] [Accepted: 07/04/2022] [Indexed: 10/16/2022]
Abstract
BACKGROUND Many surgical adverse events, such as bile duct injuries during laparoscopic cholecystectomy (LC), occur due to errors in visual perception and judgment. Artificial intelligence (AI) can potentially improve the quality and safety of surgery, such as through real-time intraoperative decision support. GoNoGoNet is a novel AI model capable of identifying safe ("Go") and dangerous ("No-Go") zones of dissection on surgical videos of LC. Yet, it is unknown how GoNoGoNet performs in comparison to expert surgeons. This study aims to evaluate the GoNoGoNet's ability to identify Go and No-Go zones compared to an external panel of expert surgeons. METHODS A panel of high-volume surgeons from the SAGES Safe Cholecystectomy Task Force was recruited to draw free-hand annotations on frames of prospectively collected videos of LC to identify the Go and No-Go zones. Expert consensus on the location of Go and No-Go zones was established using Visual Concordance Test pixel agreement. Identification of Go and No-Go zones by GoNoGoNet was compared to expert-derived consensus using mean F1 Dice Score, and pixel accuracy, sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV). RESULTS A total of 47 frames from 25 LC videos, procured from 3 countries and 9 surgeons, were annotated simultaneously by an expert panel of 6 surgeons and GoNoGoNet. Mean (± standard deviation) F1 Dice score were 0.58 (0.22) and 0.80 (0.12) for Go and No-Go zones, respectively. Mean (± standard deviation) accuracy, sensitivity, specificity, PPV and NPV for the Go zones were 0.92 (0.05), 0.52 (0.24), 0.97 (0.03), 0.70 (0.21), and 0.94 (0.04) respectively. For No-Go zones, these metrics were 0.92 (0.05), 0.80 (0.17), 0.95 (0.04), 0.84 (0.13) and 0.95 (0.05), respectively. CONCLUSIONS AI can be used to identify safe and dangerous zones of dissection within the surgical field, with high specificity/PPV for Go zones and high sensitivity/NPV for No-Go zones. Overall, model prediction was better for No-Go zones compared to Go zones. This technology may eventually be used to provide real-time guidance and minimize the risk of adverse events.
Collapse
Affiliation(s)
- Simon Laplante
- Surgical Artificial Intelligence Research Academy, University Health Network, Toronto, ON, Canada.
- Department of Surgery, University of Toronto, Toronto, ON, Canada.
- MIS Fellow, Toronto Western Hospital, Division of General Surgery, 8MP-325., 399 Bathurst St, Toronto,, ON, M5T 2S8, Canada.
| | - Babak Namazi
- Department of Surgery, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Parmiss Kiani
- Surgical Artificial Intelligence Research Academy, University Health Network, Toronto, ON, Canada
| | | | - Adnan Alseidi
- Department of Surgery, University of California, San Francisco, CA, USA
| | - Mauricio Pasten
- Instituto de Gastroenterologia Boliviano Japones, Cochabamba, Bolivia
| | - L Michael Brunt
- Department of Surgery, Washington University School of Medicine, St. Louis, MO, USA
| | - Sujata Gill
- Department of Surgery, Northeast Georgia Medical Center, Georgia, USA
| | - Brian Davis
- Department of Surgery, Texas Tech Paul L Foster School of Medicine, El Paso, TX, USA
| | - Matthew Bloom
- Department of Surgery, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Luise Pernar
- Department of Surgery, Boston medical center, Boston, MA, USA
| | - Allan Okrainec
- Surgical Artificial Intelligence Research Academy, University Health Network, Toronto, ON, Canada
- Department of Surgery, University of Toronto, Toronto, ON, Canada
| | - Amin Madani
- Surgical Artificial Intelligence Research Academy, University Health Network, Toronto, ON, Canada
- Department of Surgery, University of Toronto, Toronto, ON, Canada
| |
Collapse
|
17
|
Filicori F, Bitner DP, Fuchs HF, Anvari M, Sankaranaraynan G, Bloom MB, Hashimoto DA, Madani A, Mascagni P, Schlachta CM, Talamini M, Meireles OR. SAGES video acquisition framework-analysis of available OR recording technologies by the SAGES AI task force. Surg Endosc 2023:10.1007/s00464-022-09825-3. [PMID: 36729231 DOI: 10.1007/s00464-022-09825-3] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2022] [Accepted: 12/06/2022] [Indexed: 02/03/2023]
Abstract
BACKGROUND Surgical video recording provides the opportunity to acquire intraoperative data that can subsequently be used for a variety of quality improvement, research, and educational applications. Various recording devices are available for standard operating room camera systems. Some allow for collateral data acquisition including activities of the OR staff, kinematic measurements (motion of surgical instruments), and recording of the endoscopic video streams. Additional analysis through computer vision (CV), which allows software to understand and perform predictive tasks on images, can allow for automatic phase segmentation, instrument tracking, and derivative performance-geared metrics. With this survey, we summarize available surgical video acquisition technologies and associated performance analysis platforms. METHODS In an effort promoted by the SAGES Artificial Intelligence Task Force, we surveyed the available video recording technology companies. Of thirteen companies approached, nine were interviewed, each over an hour-long video conference. A standard set of 17 questions was administered. Questions spanned from data acquisition capacity, quality, and synchronization of video with other data, availability of analytic tools, privacy, and access. RESULTS Most platforms (89%) store video in full-HD (1080p) resolution at a frame rate of 30 fps. Most (67%) of available platforms store data in a Cloud-based databank as opposed to institutional hard drives. CV powered analysis is featured in some platforms: phase segmentation in 44% platforms, out of body blurring or tool tracking in 33%, and suture time in 11%. Kinematic data are provided by 22% and perfusion imaging in one device. CONCLUSION Video acquisition platforms on the market allow for in depth performance analysis through manual and automated review. Most of these devices will be integrated in upcoming robotic surgical platforms. Platform analytic supplementation, including CV, may allow for more refined performance analysis to surgeons and trainees. Most current AI features are related to phase segmentation, instrument tracking, and video blurring.
Collapse
Affiliation(s)
- Filippo Filicori
- Intraoperative Performance Analytics Laboratory (IPAL), Department of General Surgery, Northwell Health, Lenox Hill Hospital, New York, NY, USA
- Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA
| | - Daniel P Bitner
- Intraoperative Performance Analytics Laboratory (IPAL), Department of General Surgery, Northwell Health, Lenox Hill Hospital, New York, NY, USA
- Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA
| | - Hans F Fuchs
- Department of Surgery, Division of Surgical Robotics and Artificial Intelligence, University of Cologne, Cologne, Germany
| | - Mehran Anvari
- Center for Surgical Invention and Innovation, Department of Surgery, McMaster University, Hamilton, ON, Canada
| | - Ganesh Sankaranaraynan
- Artificial Intelligence and Medical Simulation (AIMS) Lab, Department of Surgery, UT Southwestern Medical Center, Dallas, TX, USA
| | - Matthew B Bloom
- Minimally Invasive Surgery Laboratory, Department of Surgery, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Daniel A Hashimoto
- Department of Surgery, University Hospitals Cleveland Medical Center, Cleveland, OH, USA
| | - Amin Madani
- Surgical Artificial Intelligence Research Academy, Department of Surgery, University Health Network, Toronto, ON, Canada
| | - Pietro Mascagni
- Fondazione Policlinico Universitario A. Gemelli, Rome, Italy
- Institute of Image-Guided Surgery, IHU-Strasbourg, Strasbourg, France
| | - Christopher M Schlachta
- Canadian Surgical Technologies & Advanced Robotics (CSTAR), London Health Sciences Centre, London, ON, Canada
| | - Mark Talamini
- Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA
| | - Ozanan R Meireles
- Surgical Artificial Intelligence and Innovation Laboratory (SAIIL), Department of General Surgery, Massachusetts General Hospital, 15 Parkman Street, WAC 339, Boston, MA, 02139, USA.
| |
Collapse
|
18
|
Selim Y, Di Lena É, Abu-Omar N, Baig Z, Verhoeff K, La J, Purich K, Albacete S, Valji R, Purich K, Safar A, Schellenberg M, Schellenberg M, Schellenberg M, Schellenberg M, Schellenberg M, Schellenberg M, Daza J, Glass LT, Verhoeff K, Johnson G, Guidolin K, Glass LT, Balvardi S, Gawad N, McKechnie T, McKechnie T, Purich K, Henley J, Imbert E, Li C, Skinner S, Lenet T, Lenet T, Metz J, Ahn H(S, Do U, Rouhi A, Greenberg B, Muaddi H, Park L, Vogt K, Bradley N, Deng SX, Murphy P, Alhabboubi M, Lie J, Laplante S, Lie J, Drung J, Nixon T, Allard-Coutu A, Mansouri S, Lee A, Tweedy J, D’Elia MA, Hopkins B, Srivastava A, Alibhai K, Lee C, Moon J(J, How N, Spoyalo K, Lalande A, Baig Z, Schweitzer C, Keogh J, Huo B, Patel YS, Patel YS, Jogiat U, McGuire AL, Jogiat U, Lee Y, Barber E, Akhtar-Danesh GG, Bondzi-Simpson A, Bowker R, Ahmadi N, Abdul SA, Patel P, Harrison L, Shi G, Shi G, Alaichi JA, Kidane B, Qu LC, Alaichi J, Mackay E, Lee J, Purich K, Castelo M, Caycedo-Marulanda A, Caycedo-Marulanda A, Brennan K, Brennan K, Brennan K, Garfinkle R, Sharma S, Candy S, Patel S, LeGal G, Spadafora S, Maclellan S, Trottier D, Jonker D, Asmis T, Mallick R, Ramsay T, Carrier M, McKechnie T, Shojaei D, Motamedi A, Ghuman A, Karimuddin A, Raval M, Brown C, Shojaei D, Wang H, Buie D, Wang H, McKechnie T, Buie D, Al Busaidi N, Rajabiyazdi F, Demian M, Boutros M, Farooq A, Brown C, Phang T, Ghuman A, Karimuddin A, McKechnie T, Raval M, Udwadia F, Marinescu D, Alqahtani M, Pang A, Vasilevsky CA, Boutros M, Oviedo SC, McFadden N, Spence R, Lee L, Hirsch G, Neumann K, Neumann K, Spence R, Johnson G, Singh H, Helewa R, Yilbas A, Netto FS, Katz J, Robitaille S, Sharma B, Khan U, Selzner M, Mocanu V, Dang J, Wilson H, Switzer N, Birch D, Karmali S, Mocanu V, Robitaille S, Jogiat U, Forbes H, Switzer N, Birch D, Karmali S, Verhoeff K, Mocanu V, Kung J, Purich K, Switzer N, Sadri H, Birch D, Karmali S, Tassé N, Tchernof A, Nadeau M, Dawe P, Beckett A, Biertho L, Lin A, Verhoeff K, Selznick S, Mocanu V, Kung JY, Birch DW, Karmali S, Switzer NJ, Fowler-Woods M, Fowler-Woods A, Shingoose G, Hatala A, Daeninck F, Wiseman V, Vergis A, Hardy K, Clouston K, Debru E, Sun W, Dang J, Switzer N, Birch D, Karmali S, De Gara C, Wiseman V, Halasz J, Dang J, Switzer N, Kanji A, Birch D, Modi R, Karmali S, Gu J, Jarrar A, Kolozsvari N, Wiseman V, Samarasinghe Y, Chen L, Hapugall A, Javidan A, McKechnie T, Doumouras A, Hong D, Laplante S, Stogryn S, Maeda A, Brennan K, Jackson T, Okrainec A, Birch D, Karmali S, Kanji A, Switzer N, Balas M, Gee D, Hutter M, Meireles O, Baker L, Jung J, Vergis A, Hardy K, Boudreau V, Hong D, Anvari M, Iranmanesh P, Barlow K, Cookson T, Bolis R, Ichhpuniani S, Shanthanna H, Shiroky J, Deghan S, Zevin B, Cloutier Z, Cookson T, Barlow K, Boudreau V, Anvari M, Brodie J, Johnson G, O’Brien E, Tedman-Aucoin K, Lawlor D, Murphy R, Twells L, Pace D, Ellsmere J, Evans B, Zhang T, Deehan E, Zhang L, Kao D, Hotte N, Birch D, Karmali S, Samarasinghe K, Walter J, Madsen K, Williams E, Kong W, Fundytus A, Holden J, Booth C, Patel S, Caycedo-Marulanda A, Chung W, Nanji S, Merchant S, Hansen B, Paszat L, Baxter N, Scheer A, Moon J(J, Ghezeljeh TN, Lapointe-Gagner M, Nguyen-Powanda P, Elhaj H, Rajabiyazdi F, Lee L, Feldman LS, Fiore J, Sutradhar R, Haas B, Moon J(J, Guttman M, Eskander A, Coburn N, Chesney T, Tillman B, Zuk V, Mahar A, Hsu A, Chan W, Hallet J, Moon J(J, Guidolin K, Servidio-Italiano F, Quereshy F, Sapisochin G, Prisman E, Mitmaker E, Walker R, Wu J, Nguyen A, Wiseman S, Moon J(J, Hong D, Gupta M, Pasternak J, Vergara-Fernandez O, Brar A, Conner J, Kirsch R, Brar M, Kennedy E, Govindarajan A, Paradis T, Gryfe R, MacRae H, Cohen Z, McLeod R, Swallow C, Ghasemi F, Delisle M, Stacey D, Abou-Khalil J, Balaa F, Bayat Z, Bertens K, Dingley B, Martel G, McAlpine K, Nessim C, Tadros S, Carrier M, Auer R, Lim D, Eskander A, Patel S, Coburn N, Sutradhar R, Chan W, Hallet J, Pickard F, Mathieson A, Hogan M, Seal M, Acidi B, Johnston W, Maalouf MF, Callegaro D, Brar S, Gladdy R, Chung P, Catton C, Khalili K, Honore C, Swallow C, Fu N, Kazazian K, Wachtel A, Pacholczyk K, Ng D, Swett-Cosentino J, Savage P, Shibahara Y, Kalimuthu S, Espin-Garcia O, Conner J, Yeung J, Darling G, Baronas V, Swallow C, Mercier F, Barabash V, Law C, Coburn N, Singh S, Myrehaug S, Chan W, Hallet J, Auer RC, Wiseman V, Muhn N, Heller B, Lovrics P, Ng D, Koerber D, Al-Sukhni E, Cyr D, Kazazian K, Swallow C, Apte S, Lie J, Nessim C, Ban J, Chen L, McKevitt E, Warburton R, Pao JS, Dingee C, Kuusk U, Bazzarelli A, Hong NL, Hajjar R, Gagliardi A, Nyhof B, Marfil-Garza B, Sandha G, Cooper D, Dajani K, Bigam D, Anderson B, Kin T, Lam A, Ehlebracht A, O’Gorman D, Senior P, Ricordi C, Shapiro AJ, Moser M, Lam H, Flemming J, Jalink D, Nanji S, Bennett S, Caminsky N, Zhang B, Tywonek K, Meyers B, Serrano P, Lenet T, Shorr R, Abou-Khalil J, Bertens K, Balaa F, Martel G, Caminsky N, Jayaraman S, Wei A, Mahar A, Kaliwal Y, Martel G, Coburn N, Hallet J, Williams P, Claasen M, Ivanics T, Gilbert R, Englesakis M, Gallinger S, Hansen B, Sapisochin G, Ivanics T, Claasen M, Gallinger S, Hansen B, Sapisochin G, Lenet T, Morin G, Abou-Khalil J, Balaa F, Martel G, Brind’Amour A, Bertens K, Balaa F, Bertens K, Martel G, Abou-Khalil J, Collin Y, Auer RC, Ivanics T, Toso C, Adam R, Ijzermans J, Sapisochin G, Polak W, Léveillé M, Lawson C, Collin Y, Tai LH, Phang T, Greene B, Jayaraman S, Tsang M, Al-Arnawoot A, Rajendran L, Lamb T, Turner A, Reid M, Rekman J, Mimeault R, Hopkins J, Abou-Khalil J, Bertens K, Martel G, Balaa F, Zhang C, Lemke M, Glinka J, Leslie K, Skaro A, Tang E, Hopkins J, Greene B, Tsang M, Jayaraman S, Bubis L, Jayaraman S, Tsang ME, Ganescu O, Vanounou T, Pelletier JS, Greene B, Levin Y, Tsang M, Jayaraman S, Ganescu O, Pelletier JS, Vanounou T, Choi WJ, Muaddi H, Ivanics T, Classen MP, Sapisochin G, Alam A, Caminsky N, Mansouri S, Lagace P, Lagace P, El-Kefraoui C, Mainprize M, Melland-Smith M, Verhoeff K, Verhoeff K, Nasser K, Mailloux O, Purich K, Whyte M, Li T, Ahmad MS, Sun W, Ahn H(S, Lee Y, Roach E, Chow A, Trac J, He W, Ramji K, Kouzmina E, Koziak C, Hossain I, Mocanu V, Hanna N, Castelo M, Pook M, Zuckerman J, Choi WJ, Watanabe A, Saravana-Bawan B, Cyr D, Brackstone M, Ivankovic V, Nair AG, Hirpara D, Stockley C, Ng D, Luu S, Meloche-Dumas L, D’Elia MA, Eom A, Tang K, Khan S, Schmitz E, Chen KT, Newman-Bremang J, Verhoeff K, Jette N, Mir Z, Griffiths C, Rajendran L, Zuckerman J, Choi WJ, Choi WJ, Gilbert R, Lenet T, Amhis N, Claasen M, Mansouri S, Workewych A, Lee A, Waugh E, Zhu A, Nabavian H, Roldan J, Lagrotteria A, Roldan J, Rajendran L, Safa N, Rahman S, Kaneva P, Feldman L, Baig Z, Ginther N, Gill D, Sarwar Z, Verdiales C, Moser M, Mocanu V, Fang B, Dang J, Sun W, Switzer N, Birch D, Karmali S, Alqaydi A, Wei X, Digby G, Brogly S, Merchant S, Verhoeff K, Miles A, Kung JY, Shapiro AJ, Bigam DL, Matkin A, Dumestre D, Peiris L, Turner S, Verhoeff K, Mador B, McLennan S, Jastaniah A, Owattanapanich N, Grigorian A, Lam L, Nahmias J, Inaba K, Liasidis P, Inaba K, Demetriades D, Benjamin ER, Cowan S, Owattanapanich N, Wong MD, Inaba K, Demetriades D, Owattanapanich N, Emigh B, Karavites L, Clark DH, Lam L, Inaba K, Benjamin ER, Owattanapanich N, Inaba K, Demetriades D, Anderson GA, Owattanapanich N, Cheng V, Lam L, Inaba K, Myers L, Cuthbertson B, Myles P, Shulman M, Wijeysundera D, Murphy PB, Allen L, Minkhorst K, Bowker D, Tang ES, Leslie K, Hawel JE, Ma O, Purich K, Skinner S, Dhaliwal R, Strickland M, Park J, Vergis A, Gillman L, Rivard J, Lin J, Zorigtbaatar A, Nadeem M, Ibrahim T, Neilson Z, Kim KY(P, Rajendran L, Chadi S, Quereshy F, Davidson M, Friedrich E, Champion C, Semsar-Kazerooni K, Kaneva P, Mueller C, Vassiliou M, Al Mahroos M, Fiore J, Schwartzman K, Feldman L, Purich K, Verhoeff K, Anderson B, Daniel R, Kruse C, Levin M, Lee Y, Doumouras A, Hong D, Eskicioglu C, Povolo C, Lee J, Lee Y, Park L, Doumouras A, Hong D, Bhandari M, Eskicioglu C, Lee E, Verhoeff K, Sydora D, Turner S, Strickland M, Boone D, Roberts S, McGrouther D, Manuel P, Dykstra M, Wang H, Snelgrove R, Verhoeff K, Purich K, Perry T, Strickland M, Dhaliwal R, Skanes S, Tropiano J, McIsaac D, Tinmouth A, Hallet J, Nicholls S, Fergusson D, Martel G, Tropiano J, Skanes S, Ivankovic V, McIsaac D, Tinmouth A, Patey A, Fergusson D, Martel G, Naqvi R, Noppens R, Hawel J, Elnahas A, Schlachta C, Alkhamesi N, Lenet T, Gilbert R, Mallick R, Shaw J, McIsaac D, Martel G, Pook M, Najafi T, Rajabiyazdi F, El-Kefraoui C, Balvardi S, Barone N, Elhaj H, Nguyen-Powanda P, Lee L, Baldini G, Feldman L, Fiore J, Purich K, Jogiat U, Mapiour D, Kim M, Nadler A, Stukel T, De Mestral C, Nathens A, Pautler S, Shayegan B, Hanna W, Schlachta C, Breau R, Hopkins L, Jackson T, Karanicolas P, Griffiths C, Ali S, Archer V, Cloutier Z, Choi D, McKechnie T, Serrano P, McClure JA, Jones P, Mrkobrada M, Flier S, Welk B, Dubois L, Khwaja K, Allen L, Tung L, Hameed M, Spoyalo K, Lampron J, Garcia-Ochoa C, Jastaniah A, Engels P, Talwar G, Cloutier Z, Minor S, Moffat B, Parry N, Vogt K, Ebeye T, Sharma BT, Samman A, Zulfiqar A, Purzner RH, Greene B, Tsang M, Jayaraman S, Allen L, Ball CG, Hameed M, Engels P, Nenshi R, Widder S, Minor S, Parry N, Bradley N, Moffat B, Vogt K, Liberman S, Wong E, Chughtai T, Turner J, Wiseman S, Li J, Mak N, Namazi B, Kiani P, Hashimoto D, Alseidi A, Pasten M, Brunt LM, Gill S, Davis B, Bloom M, Pernar L, Okrainec A, Madani A, Hamilton T, Nabata K, Zhang JW, Zhao D, Dawe P, Hameed M, Allen L, Leslie K, Drung J, Purich K, Verhoeff K, Skinner S, Dhaliwal R, Strickland M, Heller B, Wright V, Cho W, Wong M, Singh K, Comeau É, Collin Y, Oviedo SC, Rajendran L, Lamb T, Reid M, Turner A, Bertens K, Rekman J, Balaa F, Neumann K, Porter G, Teo I, Forse CL, Musselman R, Grozman L, Alshawan N, Fraser S, Bergman S, Pelletier JS, Vanounou T, Wong EG, Nolan B, Qiao L, Jung J, Raîche I, McDonald H, Gawad N, Cheifetz R, Hawley P, Rehany Z, Bakhshi M, Razek T, Grushka J, Boulanger N, Watt L, Vivier A, Clark G, Fata P, Deckelbaum D, Khwaja K, Jastaniah A, Wong E, Ren K, Qiu Y, Hamann K, Lalande A, MacNeill A, Park J, Alexis S, Spoyalo K, Patterson K, Gadhari N, Zhao J, MacNeill A, Ahmed R, Farooq A, Karimuddin A, Wiseman S, Chhor A, Begum H, Akhtar-Danesh N, Finley C, Manos D, Xu Z, Matheson K, Chun S, Fris J, Wallace A, French D, Baste JM, Shargall Y, Waddell TK, Yasufuku K, Machuca TN, Xie F, Thabane L, Hanna WC, Beauchamp MK, Wald J, Mbuagbaw L, Key BL, Green SM, Hanna WC, Behzadi A, Donahoe L, Nasralla A, Poon J, Safieddine N, Seyednejad N, Tavakoli I, Turner S, Sharma S, Hilzenrat RA, McConechy M, Frank I, Hughsman C, Yip S, Choi JJ, Yee J, Sasewich H, Turner S, Baracos V, Eurich D, Filafilo H, Bedard E, Samarasinghe Y, Patel J, Khondker A, McKechnie T, Samarasinghe N, Finley C, Hanna W, Shargall Y, Agzarian J, Whidden M, Aguirre F, Graham A, Chhor A, Begum H, Ewusie J, Mbuagbaw L, Yaron S, Keshishi M, Ademe Y, Tizazu A, Rose M, Uddin S, Ko M, Ddamba J, French D, Wallace A, Safieddine N, Gazala S, Simone C, Wright F, Finley C, Villeneuve PJ, Gilbert S, Sundaresan S, Seely AJ, Maziak DE, Manos D, Wallace A, Plourde M, Turner D, Ringash J, Manuel D, Kidane B, Gupta V, Decker K, Davis L, Darling G, Compton C, Coburn N, Boyes R, Pugliese M, Mahar A, Hsu A, Kokavec A, Ho E, Waterman R, Wang E, Harnden K, Malthaner R, Nayak R, Qiabi M, Malthaner R, Nayak R, Qiabi M, Patel Y, Farrokhyar F, Simunovic M, Hanna WC, Gowing S, Liu R, Srinathan S, Tan L, Malthaner R, Malik P, Patel Y, Hanna W, Fahim U, Hafizi A, Ashrafi AS, McKechnie T, Amin N, Doumouras A, Hong D, Eskicioglu C, Streu C, Wong C, Schiller D, Sue-Chue-Lam C, Paszat L, Scheer A, Hansen B, Kishibe T, Baxter N, Neary E, Ibrahim T, Verschoor C, Patel S, Merchant S, Chadi S, Romagnolo L, Verschoor C, Brown C, Karimuddin A, Raval M, Phang T, Vikis E, Melich G, Patel S, Patel S, Caycedo-Marulanda A, Merchant S, Booth C, Kong W, McClintock C, Bankhead C, Heneghan C, Patel S, McClintock C, Merchant S, Caycedo-Marulanda A, Booth C, Bankhead C, Heneghan C, Zhang L, Flemming J, Djerboua M, Nanji S, Caycedo-Marulanda A, Merchant S, Patel S, Demian M, Sabboobeh S, Moon J, Hulme-Moir M, Liberman AS, Feinberg S, Hayden DM, Chadi SA, Demyttenaere S, Samuel L, Hotakorzian N, Quintin L, Morin N, Ghitulescu G, Faria J, Vasilevsky CA, Boutros M, Mckechnie T, Khamar J, Ichhpuniani S, Eskicioglu C, Patel S, Merchant S, Caycedo-Marulanda A, Bankhead C, Heneghan C, Govind S, Lee J, Lee Y, Hong D, Eskicioglu C, Lu J, Khamar J, Lee Y, Amin N, Hong D, Eskicioglu C, Cardenas L, Schep D, Doumouras A, Hong D, Wong R, Levine O, Eskicioglu C, Mueller C, Stein B, Charlebois P, Liberman S, Fried G, Feldman L, Wang A, Liberman S, Charlebois P, Stein B, Fiore JF, Feldman L, Lee L, Wang A, Liberman S, Charlebois P, Stein B, Fiore JF, Feldman L, Lee L, Barkun A, Levy J, Bogdan R, Hawel J, Elnahas A, Alkhamesi NA, Schlachta CM, Caycedo-Marulanda A, Iaboni N, Hurlbut D, Kaufmann M, Ren KYM, Jamzad A, Mousavi P, Fichtinger G, Nicol CJ, Rudan JF, Brennan K, Caycedo-Marulanda A, Merchant S, McClintock C, Patel SV, McClintock C, Bankhead C, Merchant S, Caycedo-Marulanda A, Booth C, Heneghan C, Zhang L, Huo B, Donaldson A, Flemming J, Nanji S, Caycedo-Marulanda A, Merchant S, Brogly S, Patel S, Lenet T, Park L, Murthy S, Musselman R, McKechnie T, Lee J, Biro J, Lee Y, Park L, Doumouras A, Hong D, Eskicioglu C, Singh H, Helewa R, Reynolds K, Sibley K, Doupe M, Brennan K, Flemming J, Nanji S, Merchant S, Djerboua M, Caycedo-Marulanda A, Patel S, Johnson G, Hochman D, Helewa R, Garfinkle R, Dell’Aniello S, Zelkowitz P, Vasilevsky CA, Brassard P, Boutros M, Zoughlami A, Abibula W, Amar A, Ghitulescu G, Vasilevsky CA, Brassard P, Boutros M, Araji T, Pang A, Vasilevsky CA, Boutros M, Ehlebracht A, Faria J, Ghitulescu G, Morin N, Pang A, Vasilevsky CA, Boutros M, Robitaille S, Oliver M, Charlebois P, Stein B, Liberman S, Feldman LS, Lee L, Kennedy E, Victor C, Govindarajan A, Zhang L, Brennan K, Djerboua M, Nanji S, Merchant SJ, Caycedo-Marulanda A, Flemming J, Robitaille S, Penta R, Pook M, Fiore JF, Feldman L, Lee L, Wong-Chong N, Marinescu D, Bhatnagar S, Morin N, Ghitulescu G, Vasilevsky CA, Faria J, Boutros M, Arif A, Ladua G, Bhang E, Brown C, Donellan F, Stuart H, Loree J, Patel S, Zhang L, MacDonald PH, Merchant S, Barnett KW, Caycedo-Marulanda A, Brown C, Karimuddin A, Stuart H, Ghuman A, Phang T, Raval M, Yoon HM, Fragoso G, Oliero M, Calvé A, Rendos HV, Gonzalez E, Brereton NJ, Cuisiniere T, Gerkins C, Djediai S, Annabi B, Diop K, Routy B, Laplante P, Cailhier JF, Taleb N, Alratrout H, Dagbert F, Loungnarath R, Sebajang H, Schwenter F, Wassef R, Ratelle R, Debroux E, Richard C, Santos MM, Hamad D, Alsulaim H, Monton O, Marinescu D, Pang A, Vasilevsky CA, Boutros M, Marinescu D, Alqahtani M, Pang A, Ghitulescu G, Vasilevsky CA, Boutros M, Marinescu D, Garfinkle R, Boutros M, Zwiep T, Greenberg J, Lenet T, Musselman R, Williams L, Raiche I, McIsaac D, Thavorn K, Fergusson D, Moloo H, Charbonneau J, Paré X, Frigault J, Letarte F, Ott M, Karanicolas P, Brackstone M, Ashmalla S, Weaver J, Tagalakis V, Boutros M, Stotland P, Caycedo-Marulanda A, Moloo H, Jayaraman S. 2022 Canadian Surgery Forum Sept. 15–17, 202201. Operative classification of ventral abdominal hernias: new and practical classification02. Watchful waiting for large primary splenic cysts03. Transversus abdominis plane (TAP) blocks with and without dexamethasone in colorectal surgery04. What factors determine publication of resident research day projects?05. Characterization of near-infrared imaging and indocyanine green use amongst general surgeons06. Variation in opioid prescribing after outpatient breast surgery: Time for a streamlined approach?07. Trends in graduate degree types and research output for Canadian academic general surgeons08. Would you prefer to undergo breast-conserving therapy or a mastectomy for early breast cancer? Comparison of perceptions of general and plastic surgeons09. Lack of representation of women and BIPOC individuals in Canadian academic surgery10. Medical student interest and perspectives on pursuing surgical careers: a multicentre survey evaluating 5-year trends11. Difficult cholecystectomy with cholecystogastric fistula12. Surviving nonsurvivable injuries: patients who elude the “lethal” Abbreviated Injury Scale (AIS) score of six13. Gunshot wounds sustained during legal intervention v. those inflicted by civilians: a comparative analysis14. The impact of delayed time to first head CT on functional outcomes after blunt head trauma with moderately depressed GCS15. Contemporary utility of diagnostic peritoneal aspiration in trauma16. Impact of delayed time to first head CT in traumatic brain injury17. Radiologic predictors of in-hospital mortality after traumatic craniocervical dissociation18. Measurement properties of a patient-reported instrument to evaluate functional status after major surgery19. The safety of venous thromboembolism chemoprophylaxis use in endoscopic retrograde cholangiopancreatography20. Characterizing Canadian rural surgeons: trends over time and 10-year replacement needs21. Contextual interference for skills development and transfer in laparoscopic surgery: a randomized controlled trial22. Evaluating the accuracy and design of visual backgrounds in academic surgical journals23. Defining rural surgery in Canada24. Validity of video-based general and procedure-specific self-assessment tools for surgical trainees in laparoscopic cholecystectomy25. Examining the equity and diversity characteristics of academic general surgeons in Canada26. Video-based coaching for surgical residents: a systematic review and meta-analysis27. Very-low-energy diets prior to nonbariatric surgery: a systematic review and meta-analysis28. Factors associated with resident research success: a descriptive analysis of Canadian general surgery trainees29. Global surgery pilot curriculum in Canadian undergraduate medical education: a novel approach30. How useful is ultrasound in predicting surgical findings of “mild cholecystitis”?31. Implementing a colorectal surgery “virtual hospital”: description of a novel outpatient care pathway to advance surgical care32. Trends in training and workforce planning for Canadian pediatric surgeons: a 10-year model33. Patient perspectives on intraoperative blood transfusion: results of semistructured interviews with perioperative patients34. Understanding intraoperative transfusion decision-making variability: a qualitative study using the Theoretical Domains Framework35. Effectiveness of preoperative oscillating positive expiratory pressure (OPEP) therapy in reduction of postoperative respiratory morbidity in patients undergoing surgery: a systematic review37. Accuracy of point-of-care testing devices for hemoglobin in the operating room: a systematic review and meta-analysis38. Opioid-free analgesia after outpatient general surgery: a qualitative study focused on the perspectives of patients and clinicians involved in a pilot trial39. The impact of the COVID-19 pandemic on general surgery residency: an analysis of operative volumes by residents at a Canadian general surgery residency program40. Postoperative care protocols for elderly emergency surgical patients: a quality improvement initiative42. Adverse events following robotic compared to laparoscopic and open surgery: a population-based analysis43. Is accrual higher for patients randomized to pragmatic v. exploratory randomized clinical trials? A systematic review and meta-analysis44. Effect of preoperative proton-pump inhibitor use on postoperative infectious and renal complications after elective general surgery45. The early burden of COVID-19 in emergency general surgery care across Canada46. Laparoscopic subtotal cholecystectomy for the difficult gallbladder: evolution of technique at a single teaching hospital and retrospective review47. The demand for emergency general surgery in Canada: a public health crisis48. Attitudes of Canadian general surgery staff and residents toward point-of-care ultrasound49. Psychological impact of COVID-19 on Canadian surgical residents50. Validation of an artificial intelligence platform for the guidance of safe laparoscopic cholecystectomy51. Predictors of recurrent appendicitis after nonoperative management: a prospective cohort study52. The effect of the first wave of the COVID-19 pandemic on colorectal and hepatobiliary oncologic outcomes at a tertiary care centre53. Trends in training and workforce representation for Canadian general surgeons working in critical care: a descriptive study54. White presentation: teaching safe opioid prescription and opioid use disorder management in Canadian universities56. How bad is really bad, eh? Impact of the first wave of the COVID-19 pandemic on residents’ operative volume: the experience of a Canadian general surgery program57. Surgeon-specific encounters within a multidisciplinary care pathway: Is there a role for shared care models in surgery?59. A pan-Canadian analysis of approach to treatment for acute appendicitis60. Appendix neoplasm stratified by age: understanding the best treatment for appendicitis61. Predicting acute cholecystitis on final pathology to prioritize surgical urgency: an evaluation of the Tokyo criteria and development of a novel predictive score62. Obesity is an independent predictor of acute renal failure after surgery64. Validation of a clinical decision-making assessment tool in general surgery65. Moral distress in the provision of palliative care delivery for surgical patients in British Columbia: lessons learned from the perspectives of general surgeons66. Delays in presentation and severity of illness predict adverse surgical outcomes among patients transferred from rural Indigenous communities for acute care surgery67. Remote video-based suturing education with smartphones (REVISE): a randomized controlled trial68. Modified Delphi consensus on appropriate use of laboratory investigations in acute care surgery patients72. Impacts of inpatient food at a tertiary care centre on patient satisfaction, nutrition and planetary health73. Racial disparities in health outcomes for oncological surgery in Canada75. Risk of recurrent laryngeal nerve injury from thyroidectomy is lower when intraoperative nerve monitoring (IONM) is used: an analysis of 17 688 patients from the NSQIP database01. The impact of the COVID-19 pandemic on non-smallcell lung cancer pathologic stage and presentation02. Screening criteria evaluation for expansion in pulmonary neoplasias (screen)03. Robotic-assisted lobectomy for early-stage lung cancer provides better patient-reported quality of life than video-assisted lobectomy: early results of the RAVAL trial04. Breathe Anew: designing and testing the feasibility of a novel intervention for lung cancer survivorship05. Learning objectives for thoracic surgery: developing a national standard for undergraduate medical education06. Plasma cell-free DNA as a point-of-care well-being biomarker for early-stage non-small-cell lung cancer patients07. Sarcopenia determined by skeletal muscle index predicts overall survival, disease-free survival and postoperative complications in resectable esophageal cancer: a systematic review and meta-analysis08. The short- and long-term effects of open v. minimally invasive thymectomy in myasthenia gravis patients: a systematic review and meta-analysis09. Optimizing opioid prescribing practices following minimally invasive lung resections through a structured quality improvement process10. Effects of virtual postoperative postdischarge care in patients undergoing lung resection during the COVID-19 pandemic11. Initiating Ethiopia’s first minimally invasive surgery program: a novel approach for collaborations in global surgical education12. Patient outcomes following salvage lung cancer surgery after definitive chemotherapy or radiation13. Replacing chest X-rays after chest tube removal with clinical assessment in postoperative thoracic surgery patients14. Updating the practice of thoracic surgery in Canada: a survey of the Canadian Association of Thoracic Surgeons15. The impact of COVID-19 on the diagnosis and treatment of lung cancer16. Development of a prediction model for survival time in esophageal cancer patients treated with resection17. The development and validation of a mixed reality thoracic surgical anatomy atlas18. Routine placement of feeding tubes should be avoided in esophageal cancer patients undergoing surgery19. Nodal count is no different during robotic segmentectomy compared with robotic lobectomy20. Point-of-care ultrasound-guided percutaneous biopsy of solid masses in the thoracic outpatient clinic: a safe, high-yield procedure to accelerate tissue diagnosis for patients with advanced thoracic malignancy21. Sarcopenia and modified frailty index are not associated with adverse outcomes after esophagectomy for esophageal cancer: a retrospective cohort study22. Near-infrared-guided segmental resection for lung cancer: an analysis of the learning curve23. Routine use of feeding jejunostomy tubes in patients undergoing esophagectomy for esophageal malignancy is safe and associated with low complication rates01. Ghost ileostomy versus loop ileostomy following total mesorectal excision for rectal cancer: a systematic review and meta-analysis02. Analysis of 100 consecutive colorectal cancers presenting at a Canadian tertiary care centre: delayed diagnosis and advanced disease03. Clinical delays and comparative outcomes in younger and older adults with colorectal cancer: a systematic review04. Recurrence rates of rectal cancer after transanal total mesorectal excision (taTME): a systematic review and meta-analysis05. Transanal total mesorectal excision for abdominoperineal resection (taTME-APR) is associated with poor oncological outcomes in rectal cancer patients: a word of caution from a multicentric Canadian cohort study06. Association between survival and receipt of recommended and timely treatment in locally advanced rectal cancer: a population-based study07. Trends and the impact of incomplete preoperative staging in rectal cancer08. Postoperative outcomes after elective colorectal surgery in patients with cirrhosis09. Bowel stimulation before loop ileostomy closure to reduce postoperative ileus: a multicentre, single-blinded, randomized controlled trial10. Recurrence following perineal rectosigmoidectomy ( Altemeier) with levatorplasty: a systematic review and meta-analysis11. Nonmodifiable risk factors and receipt of surveillance investigations following treatment of rectal cancer12. Safety and effectiveness of endoscopic full-thickness resection for the management of colorectal lesions: a systematic review and meta-analysis13. Impact of preoperative carbohydrate loading before colectomy: a systematic review and meta-analysis of randomized controlled trials14. Statin therapy in patients undergoing short-course neoadjuvant radiotherapy for rectal cancer15. Feasibility of targeted lymphadenectomy during complete mesocolic excision for colon cancer using indocyanine green immunofluorescence lymphatic mapping16. Feasibility of expanding an ambulatory colectomy protocol: a retrospective analysis of early discharge following minimally invasive colectomy in an enhanced recovery pathway17. Impact of rectal cancer on bowel dysfunction before treatment and its relationship with post-treatment function18. Canadian cost–utility analysis of artificial-intelligence-assisted colonoscopy for adenoma detection in fecal immunochemical-based colorectal cancer screening19. A comparison of outcomes following intracorporeal and extracorporeal anastomotic techniques in laparoscopic right colectomies20. Assessment of metabolic signatures using desorption electrospray ionization mass spectrometry (DESI) and rapid evaporative ionization mass spectrometry (REIMS) of rectal cancer samples to assist in determining treatment response21. The association between hospital characteristics and minimally invasive rectal cancer surgery: a population-based study22. Cancer centre level designation and the impact on treatment and outcomes in those with rectal cancer: a population-based study23. Oncological outcomes after colorectal cancer in patients with liver cirrhosis: a systematic review and meta-analysis24. Optimal preoperative nutrition for penetrating Crohn disease: a systematic review and meta-analysis25. Lymph node ratio as a predictor of survival for colon cancer: a systematic review and meta-analysis26. Barriers and facilitators for use of new recommendations for optimal endoscopic localization of colorectal neoplasms according to gastroenterologists and surgeons27. Emergency colorectal surgery in patients with cirrhosis: a population-based descriptive study28. Local recurrence rates and associated risk factors after transanal endoscopic microsurgery for benign polyps and adenocarcinomas29. Bowel dysfunction impacts mental health after restorative proctectomy for rectal cancer30. Evolution of psychological morbidity following restorative proctectomy for rectal cancer: a systematic review and meta-analysis31. Frailty predicts LARS and quality of life in rectal cancer survivors after restorative proctectomy32. Low anterior resection syndrome in a reference North American population: prevalence and predictive factors33. The evolution of enhanced recovery: same day discharge after laparoscopic colectomy34. Effect of ERAS protocols on length of stay after colorectal surgery: an interrupted time series analysis35. Practice patterns and outcomes in individuals with cirrhosis and colorectal cancer: a population-based study36. Understanding the impact of bowel function on quality of life after rectal cancer surgery37. Right-sided colectomies for diverticulitis have worse outcomes compared with left-sided colectomies38. Symptom burden and time from symptom onset to cancer diagnosis in patients with early-onset colorectal cancer39. The impact of access to robotic rectal surgery at a tertiary care centre: a Canadian perspective40. Management of rectal neuroendocrine tumours by transanal endoscopic microsurgery41. The gut microbiota modulates colorectal anastomotic healing in patients undergoing surgery for colorectal cancer42. Is there added risk of complications for concomitant procedures during an ileocolic resection for Crohn disease?43. Cost of stoma-related hospital readmissions for rectal cancer patients following restorative proctectomy with a diverting loop ileostomy: a nationwide readmissions database analysis44. Older age associated with quality of rectal cancer care: an ACS-NSQIP database study45. Outcomes of patients undergoing elective bowel resection before and after implementation of an anemia screening and treatment program47. Loop ileostomy closure as a 23-hour stay procedure: a randomized controlled trial48. Extended duration perioperative thromboprophylaxis with low-molecular-weight heparin to improve disease-free survival following surgical resection of colorectal cancer: a multicentre randomized controlled trial (PERIOP-01 Trial)49. Three-stage versus modified 2-stage ileal pouch anal anastomosis: perioperative outcomes, function and quality of life50. Compliance with extended venous thromboembolism prophylaxis in rectal cancer51. Extended-duration venous thromboembolism prophylaxis after diversion in rectal cancer52. Financial and occupational impact of low anterior resection syndrome: a qualitative study53. Nonoperative management for rectal cancer: patient perspectives54. Trends in ileostomy-related emergency department visits for rectal cancer patients55. Long-term implications of treatment of fecal incontinence: a single Canadian centre’s retrospective cohort study: a 17-year follow-up56. Externally benchmarking colorectal resection outcomes in our province against the ACS NSQIP risk calculator: identifying opportunities for improvement57. Externally benchmarking our provincial colectomy outcomes against the ACS NSQIP using the Codman Score: to identify possible opportunities for improvement of outcomes58. Rural v. urban documentation of recommended practices for optimal endoscopic colorectal lesion localization01. Incidence of in-hospital opioid use and pain after inguinal hernia repair02. Ventral hernia repair following liver transplantation: outcome of repair techniques and risk factors for recurrence01. Impact of the COVID-19 pandemic on bariatric surgery in North America: a retrospective analysis of 834 647 patients02. Patient selection and 30-day outcomes of SADI-S compared to RYGB: a retrospective cohort study of 47 375 patients03. New persistent opioid use following bariatric surgery: a systematic review and pooled proportion meta-analysis04. Bariatric surgery should be offered to active-duty military personnel: a retrospective study of the Canadian Armed Forces experience05. Opioid prescribing practices and use following bariatric surgery: a systematic review and pooled summary of data06. Sacred sharing circles: urban Indigenous Manitobans’ experiences with bariatric surgery07. Gastrogastric hernia after laparoscopic gastric great curve plication: a video presentation08. Characterization of comorbidities predictive of bariatric surgery09. Efficacy of preoperative high-dose liraglutide in patients with superobesity10. The effect of linear stapled gastrojejunostomy size in Roux-en-Y gastric bypass11. Fragility of statistically significant outcomes in randomized trials comparing bariatric surgeries12. Weight loss outcomes for patients undergoing conversion to Roux-en-Y gastric bypass after sleeve gastrectomy13. Are long waiting lists for bariatric surgery detrimental to patients? A single-centre experience14. Does upper gastrointestinal swallow study after bariatric surgery lead to earlier detection of leak?15. Pharmaceutical utilization before and after bariatric surgery16. Same-day discharge Roux-en-Y gastric bypass at a Canadian bariatric centre: pathway implementation and early experiences17. Safety and efficiency of performing primary bariatric surgery at an ambulatory site of a tertiary care hospital: a 5-year experience18. Impact of psychiatric diagnosis on weight loss outcomes 3 years after bariatric surgery19. Ursodeoxycholic acid (UDCA) for prevention of gallstone disease after laparoscopic sleeve gastrectomy (LSG): an Atlantic Canada perspective20. Fecal microbial transplantation and fibre supplementation in patients with severe obesity and metabolic syndrome: a randomized double-blind, placebo-controlled phase 2 trial01. Incidence, timing and outcomes of venous thromboembolism in patients undergoing surgery for esophagogastric cancer: a population-based cohort study04. Omission of axillary staging and survival in elderly women with early-stage breast cancer: a population-based cohort study05. Patients’ experiences receiving cancer surgery during the COVID-19 pandemic: a qualitative study06. Cancer surgery outcomes are better at high-volume centres07. Attitudes of Canadian colorectal cancer care providers toward liver transplantation for colorectal liver metastases: a national survey08. Quality of narrative central and lateral neck dissection reports for thyroid cancer treatment suggests need for a national standardized synoptic operative template09. Transoral endoscopic thyroidectomy vestibular approach (TOETVA): indications and technique10. Temporal trends in lymph node assessment as a quality indicator in colorectal cancer patients treated at a high-volume Canadian centre11. Molecular landscape of early-stage breast cancer with nodal metastasis12. Beta testing of a risk-stratified patient decision aid to facilitate shared decision making for postoperative extended thromboprophylaxis in patients undergoing major abdominal surgery for cancer13. Breast reconstruction use and impact on oncologic outcomes among inflammatory breast cancer patients: a systematic review14. Association between patient-reported symptoms and health care resource utilization: a first step to develop patient-centred value measures in cancer care15. Complications after colorectal liver metastases resection in Newfoundland and Labrador16. Why do patients with nonmetastatic primary retroperitoneal sarcoma not undergo resection?17. Loss of FAM46Cexpression predicts inferior postresection survival and induces ion channelopathy in gastric adenocarcinoma18. Liver-directed therapy of neuroendocrine liver metastases19. Neoadjuvant pembrolizumab use in microsatellite instability high (MSI-H) rectal cancer: benefits of its use in lynch syndrome20. MOLLI for excision of nonpalpable breast lesions: a case series22. Patients awaiting mastectomy report increased depression, anxiety, and decreased quality of life compared with patients awaiting lumpectomy for treatment of breast cancer23. Is microscopic margin status important in retroperitoneal sarcoma (RPS) resection? A systematic review and meta-analysis24. Absence of benefit of routine surveillance in very-low-risk and low-risk gastric gastrointestinal stromal tumors25. Effect of intraoperative in-room specimen radiography on margin status in breast-conserving surgery26. Active surveillance for DCIS of the breast: qualitative interviews with patients and physicians01 Outcomes following extrahepatic and intraportal pancreatic islet transplantation: a comparative cohort study02. Cholang-funga-gitis03. Evaluating the effect of a low-calorie prehepatectomy diet on perioperative outcomes: a systematic review and meta-analysis04. Toxicity profiles of systemic therapy for advanced hepatocellular carcinoma: a systematic review to guide neoadjuvant trials05. Should cell salvage be used in liver resection and transplantation? A systematic review and meta-analysis06. The association between surgeon and hospital variation in use of laparoscopic liver resection and short-term outcomes07. Systematic review and meta-analysis of prognostic factors for early recurrence in intrahepatic cholangiocarcinoma after curative-intent resection08. Impact of neoadjuvant chemotherapy on postoperative outcomes of patients undergoing hepatectomy for intrahepatic cholangiocarcinoma: ACS-NSQIP propensity-matched analysis09. The impact of prophylactic negative pressure wound therapy on surgical site infections in pancreatic resection: a systematic review and meta-analysis10. Does hepatic pedicle clamping increase the risk of colonic anastomotic leak after combined hepatectomy and colectomy? Analysis of the ACS NSQIP database11. Development of a culture process to grow a full-liver tissue substitute12. Liver transplantation for fibrolamellar hepatocellular carcinoma: an analysis of the European Liver Transplant Registry13. Arming beneficial viruses to treat pancreatic cancer14. Hepaticoduodenostomy versus hepaticojenunostomy for biliary reconstruction: a retrospective review of a single-centre experience15. Feasibility and safety of a “shared care” model in complex hepatopancreatobiliary surgery: a 5-year analysis of pancreaticoduodenectomy16. Laparoscopic v. open pancreaticoduodenectomy: initial institutional experience and NSQIP-matched analysis17. Laparoscopic spleen-preserving distal pancreatectomy: Why not do a Warshaw?18. The impact of COVID-19 on pancreaticoduodenectomy outcomes in a high-volume hepatopancreatobiliary centre19. Transitioning from open to minimally invasive pancreaticoduodenectomy: the learning curve factor in an academic centre20. Closed-incision negative-pressure wound therapy following pancreaticoduodenectomy for prevention of surgical site infections in high-risk patients21. Robotic Appleby procedure for recurrent pancreatic cancer22. The influence of viral hepatitis status on posthepatectomy complications in patients with hepatocellular carcinoma: a NSQIP analysis. Can J Surg 2022. [DOI: 10.1503/cjs.014322] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/05/2022] Open
|
19
|
Chaker K, Ouanes Y, Ben Chedly W, Madani A, Rahoui M, Mrad Dali K, Bibi M, Abid K, Sellami A, Ben Rhouma S, Nouira Y. Prognostic significance of the preoperative platelet-lymphocyte ratio in nonmetastatic renal cell carcinoma. EUR UROL SUPPL 2022. [DOI: 10.1016/s2666-1683(22)02560-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022] Open
|
20
|
Mascagni P, Alapatt D, Sestini L, Altieri MS, Madani A, Watanabe Y, Alseidi A, Redan JA, Alfieri S, Costamagna G, Boškoski I, Padoy N, Hashimoto DA. Computer vision in surgery: from potential to clinical value. NPJ Digit Med 2022; 5:163. [PMID: 36307544 PMCID: PMC9616906 DOI: 10.1038/s41746-022-00707-5] [Citation(s) in RCA: 23] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2022] [Accepted: 10/10/2022] [Indexed: 11/09/2022] Open
Abstract
Hundreds of millions of operations are performed worldwide each year, and the rising uptake in minimally invasive surgery has enabled fiber optic cameras and robots to become both important tools to conduct surgery and sensors from which to capture information about surgery. Computer vision (CV), the application of algorithms to analyze and interpret visual data, has become a critical technology through which to study the intraoperative phase of care with the goals of augmenting surgeons' decision-making processes, supporting safer surgery, and expanding access to surgical care. While much work has been performed on potential use cases, there are currently no CV tools widely used for diagnostic or therapeutic applications in surgery. Using laparoscopic cholecystectomy as an example, we reviewed current CV techniques that have been applied to minimally invasive surgery and their clinical applications. Finally, we discuss the challenges and obstacles that remain to be overcome for broader implementation and adoption of CV in surgery.
Collapse
Affiliation(s)
- Pietro Mascagni
- Gemelli Hospital, Catholic University of the Sacred Heart, Rome, Italy. .,IHU-Strasbourg, Institute of Image-Guided Surgery, Strasbourg, France. .,Global Surgical Artificial Intelligence Collaborative, Toronto, ON, Canada.
| | - Deepak Alapatt
- ICube, University of Strasbourg, CNRS, IHU, Strasbourg, France
| | - Luca Sestini
- ICube, University of Strasbourg, CNRS, IHU, Strasbourg, France.,Department of Electronics, Information and Bioengineering, Politecnico di Milano, Milano, Italy
| | - Maria S Altieri
- Global Surgical Artificial Intelligence Collaborative, Toronto, ON, Canada.,Department of Surgery, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Amin Madani
- Global Surgical Artificial Intelligence Collaborative, Toronto, ON, Canada.,Department of Surgery, University Health Network, Toronto, ON, Canada
| | - Yusuke Watanabe
- Global Surgical Artificial Intelligence Collaborative, Toronto, ON, Canada.,Department of Surgery, University of Hokkaido, Hokkaido, Japan
| | - Adnan Alseidi
- Global Surgical Artificial Intelligence Collaborative, Toronto, ON, Canada.,Department of Surgery, University of California San Francisco, San Francisco, CA, USA
| | - Jay A Redan
- Department of Surgery, AdventHealth-Celebration Health, Celebration, FL, USA
| | - Sergio Alfieri
- Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy
| | - Guido Costamagna
- Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy
| | - Ivo Boškoski
- Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy
| | - Nicolas Padoy
- IHU-Strasbourg, Institute of Image-Guided Surgery, Strasbourg, France.,ICube, University of Strasbourg, CNRS, IHU, Strasbourg, France
| | - Daniel A Hashimoto
- Global Surgical Artificial Intelligence Collaborative, Toronto, ON, Canada.,Department of Surgery, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| |
Collapse
|
21
|
Li A, Javidan AP, Namazi B, Madani A, Forbes TL. Development of an Artificial Intelligence Tool for Intraoperative Guidance During Endovascular Aneurysm Repair. J Vasc Surg 2022. [DOI: 10.1016/j.jvs.2022.07.034] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
|
22
|
Shafa G, Masino C, Madani A, Okrainec A. Perceptions of the multidisciplinary operative team on intraoperative telecoaching among surgeons. Surg Open Sci 2022; 10:145-147. [PMID: 36193260 PMCID: PMC9526219 DOI: 10.1016/j.sopen.2022.09.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2022] [Revised: 08/25/2022] [Accepted: 09/12/2022] [Indexed: 11/30/2022] Open
Abstract
Telecoaching, intraoperative coaching through videoconference, has been suggested as a tool to overcome logistical barriers with in-person coaching. However, little is known about the operative team's perception of telecoaching and its unique set of challenges. This qualitative study explores the perceptions of the multidisciplinary operative team on surgical telecoaching. A telecoaching program between peer surgeons was implemented using the Karl Storz Visitor1 remote presence system (Karl Storz, Germany). Semistructured interviews were conducted with the 12 operative team members present during 2 telecoaching sessions completed during the study period. Twelve participants were interviewed. The 4 central themes that emerged from the data were effective communication and collaboration, improving performance, operating room workflow, and culture and optics. Participating surgeon mentees reported that the session met expectations and learning goals and revealed concerns about negative perception of their autonomy and expertise by colleagues and patients. Conversely, team members unanimously reported a positive impression of surgeon mentees for taking additional measures to improve their performance and for patient outcomes. The operative team members reported that telecoaching was conducive to their own learning and relevant for complex cases. Considerations for future implementation of telecoaching include robust privacy standards for patients and staff, strong internet connectivity, coordinating with the operative team, and space constraints. Operative team participants viewed the intervention favorably and identified practical considerations for its continued use in an operating room environment. However, more work is needed on surgical culture as a contributor to low adoption and its impact on coaching programming activity.
Collapse
|
23
|
Khalid MU, Laplante S, Madani A. Machines with vision for intraoperative guidance during gastrointestinal cancer surgery. Front Med (Lausanne) 2022; 9:1025382. [PMID: 36250078 PMCID: PMC9561352 DOI: 10.3389/fmed.2022.1025382] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2022] [Accepted: 09/15/2022] [Indexed: 11/13/2022] Open
Affiliation(s)
- Muhammad Uzair Khalid
- Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
- *Correspondence: Muhammad Uzair Khalid
| | - Simon Laplante
- Department of Surgery, University of Toronto, Toronto, ON, Canada
- Surgical Artificial Intelligence Research Academy, University Health Network, Toronto, ON, Canada
| | - Amin Madani
- Department of Surgery, University of Toronto, Toronto, ON, Canada
- Surgical Artificial Intelligence Research Academy, University Health Network, Toronto, ON, Canada
| |
Collapse
|
24
|
Chirihan A, Ezzaky S, Eloual I, Madani A, Jroundi L, Laamrani F. Jejunal intussusception on jejunostomy tube: A rare cause of occlusion in adults. Int J Surg Case Rep 2022; 97:107447. [PMID: 35905677 PMCID: PMC9403279 DOI: 10.1016/j.ijscr.2022.107447] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2022] [Revised: 07/18/2022] [Accepted: 07/18/2022] [Indexed: 02/07/2023] Open
Abstract
INTRODUCTION Acute intestinal intussusception (AI) in adults secondary to jejunostomy is a rare complication and a surgical emergency requiring early diagnosis and treatment. PRESENTATION OF CASE We report the case of a 44-year-old patient, without medical history, who presented dysphagia after caustic ingestion. The patient underwent a Witzel feeding jejunostomy. The evolution was marked by the installation of abdominal distension with vomiting and alteration of the general state, the diagnosis of an intussusception in the jejunostomy tube was made in the abdominal CT scan, which required a surgical intervention, and reduction of intussusception, with simple after effects. DISCUSSION Acute intestinal intussusception (IIA) secondary to jejunostomy tube placement is a rare abdominal emergency. It manifests with signs of upper gastrointestinal obstruction. Diagnosis is based on abdominal imaging by ultrasound or CT scan. Treatment is most often surgical (Chavrier et al., 1992) [1]. CONCLUSION We present a very rare example of acute intestinal intussusception in adults, complicating jejunostomy, with non-specific clinical signs, which needed an early radiological diagnosis for adequate management.
Collapse
Affiliation(s)
- A. Chirihan
- Radiology Department, Hospital Ibn Sina, Faculty of Medicine and Pharmacy, Mohammed V University, Rabat, Morocco,Corresponding author at: Emergency Radiology Department, Hospital Ibn Sina, Faculty of Medicine and Pharmacy, Mohammed V University, Rabat, Morocco.
| | - S. Ezzaky
- Radiology Department, Hospital Ibn Sina, Faculty of Medicine and Pharmacy, Mohammed V University, Rabat, Morocco
| | - I. Eloual
- Radiology Department, Hospital Ibn Sina, Faculty of Medicine and Pharmacy, Mohammed V University, Rabat, Morocco
| | - A. Madani
- Department of General Surgery, CHU Mohamed VI, Oujda, Morocco
| | - L. Jroundi
- Radiology Department, Hospital Ibn Sina, Faculty of Medicine and Pharmacy, Mohammed V University, Rabat, Morocco
| | - F.Z. Laamrani
- Radiology Department, Hospital Ibn Sina, Faculty of Medicine and Pharmacy, Mohammed V University, Rabat, Morocco
| |
Collapse
|
25
|
Naghawi H, Chau J, Madani A, Kaneva P, Monson J, Mueller C, Lee L. Development and evaluation of a virtual knowledge assessment tool for transanal total mesorectal excision. Tech Coloproctol 2022; 26:551-560. [PMID: 35503143 DOI: 10.1007/s10151-022-02621-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/15/2021] [Accepted: 04/10/2022] [Indexed: 11/28/2022]
Abstract
BACKGROUND Transanal total mesorectal excision (TATME) is difficult to learn and can result in serious complications. Current paradigms for assessing performance and competency may be insufficient. This study aims to develop and provide preliminary validity evidence for a TATME virtual assessment tool (TATME-VAT) to assess the cognitive skills necessary to safely complete TATME dissection. METHODS Participants from North America, Europe, Japan and China completed the test via an interactive online platform between 11/2019 and 05/2020. They were grouped into expert, experienced and novice surgeons depending on the number of independently performed TATMEs. TATME-VAT is a 24-item web-based assessment evaluating advanced cognitive skills, designed according to a blueprint from consensus guidelines. Eight items were multiple choice questions. Sixteen items required making annotations on still frames of TATME videos (VCT) and were scored using a validated algorithm derived from experts' responses. Annotation (range 0-100), multiple choice (range 0-100), and overall scores (sum of annotation and multiple-choice scores, normalized to μ = 50 and σ = 10) were reported. RESULTS There were significant differences between the expert, experienced, and novice groups for the annotation (p < 0.001), multiple-choice (p < 0.001), and overall scores (p < 0.001). The annotation (p = 0.439) and overall (p = 0.152) scores were similar between the experienced and novice groups. Annotation scores were higher in participants with 51 or more vs. 30-50 vs. less than 30 cases. Scores were also lower in users with a self-reported recent complication vs. those without. CONCLUSIONS This study describes the development of an interactive video-based virtual assessment tool for TATME dissection and provides initial validity evidence for its use.
Collapse
Affiliation(s)
- Hamzeh Naghawi
- The Steinberg-Bernstein Centre for Minimally Invasive Surgery, McGill University Health Center, Montreal, QC, Canada
| | - Johnny Chau
- The Steinberg-Bernstein Centre for Minimally Invasive Surgery, McGill University Health Center, Montreal, QC, Canada
| | - Amin Madani
- The University Health Network - Toronto General Hospital, Toronto, ON, Canada
| | - Pepa Kaneva
- The Steinberg-Bernstein Centre for Minimally Invasive Surgery, McGill University Health Center, Montreal, QC, Canada
| | - John Monson
- AdventHealth Medical Group, Orlando, FL, USA
| | - Carmen Mueller
- The Steinberg-Bernstein Centre for Minimally Invasive Surgery, McGill University Health Center, Montreal, QC, Canada
| | - Lawrence Lee
- The Steinberg-Bernstein Centre for Minimally Invasive Surgery, McGill University Health Center, Montreal, QC, Canada. .,Colon and Rectal Surgery, Department of Surgery, McGill University Health Centre, 1001 Decarie Boulevard, DS1-3310, Montreal, QC, H4A 3J1, Canada.
| |
Collapse
|
26
|
Maier-Hein L, Eisenmann M, Sarikaya D, März K, Collins T, Malpani A, Fallert J, Feussner H, Giannarou S, Mascagni P, Nakawala H, Park A, Pugh C, Stoyanov D, Vedula SS, Cleary K, Fichtinger G, Forestier G, Gibaud B, Grantcharov T, Hashizume M, Heckmann-Nötzel D, Kenngott HG, Kikinis R, Mündermann L, Navab N, Onogur S, Roß T, Sznitman R, Taylor RH, Tizabi MD, Wagner M, Hager GD, Neumuth T, Padoy N, Collins J, Gockel I, Goedeke J, Hashimoto DA, Joyeux L, Lam K, Leff DR, Madani A, Marcus HJ, Meireles O, Seitel A, Teber D, Ückert F, Müller-Stich BP, Jannin P, Speidel S. Surgical data science - from concepts toward clinical translation. Med Image Anal 2022; 76:102306. [PMID: 34879287 PMCID: PMC9135051 DOI: 10.1016/j.media.2021.102306] [Citation(s) in RCA: 69] [Impact Index Per Article: 34.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2020] [Revised: 11/03/2021] [Accepted: 11/08/2021] [Indexed: 02/06/2023]
Abstract
Recent developments in data science in general and machine learning in particular have transformed the way experts envision the future of surgery. Surgical Data Science (SDS) is a new research field that aims to improve the quality of interventional healthcare through the capture, organization, analysis and modeling of data. While an increasing number of data-driven approaches and clinical applications have been studied in the fields of radiological and clinical data science, translational success stories are still lacking in surgery. In this publication, we shed light on the underlying reasons and provide a roadmap for future advances in the field. Based on an international workshop involving leading researchers in the field of SDS, we review current practice, key achievements and initiatives as well as available standards and tools for a number of topics relevant to the field, namely (1) infrastructure for data acquisition, storage and access in the presence of regulatory constraints, (2) data annotation and sharing and (3) data analytics. We further complement this technical perspective with (4) a review of currently available SDS products and the translational progress from academia and (5) a roadmap for faster clinical translation and exploitation of the full potential of SDS, based on an international multi-round Delphi process.
Collapse
Affiliation(s)
- Lena Maier-Hein
- Division of Computer Assisted Medical Interventions (CAMI), German Cancer Research Center (DKFZ), Heidelberg, Germany; Faculty of Mathematics and Computer Science, Heidelberg University, Heidelberg, Germany; Medical Faculty, Heidelberg University, Heidelberg, Germany.
| | - Matthias Eisenmann
- Division of Computer Assisted Medical Interventions (CAMI), German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Duygu Sarikaya
- Department of Computer Engineering, Faculty of Engineering, Gazi University, Ankara, Turkey; LTSI, Inserm UMR 1099, University of Rennes 1, Rennes, France
| | - Keno März
- Division of Computer Assisted Medical Interventions (CAMI), German Cancer Research Center (DKFZ), Heidelberg, Germany
| | | | - Anand Malpani
- The Malone Center for Engineering in Healthcare, The Johns Hopkins University, Baltimore, Maryland, USA
| | | | - Hubertus Feussner
- Department of Surgery, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
| | - Stamatia Giannarou
- The Hamlyn Centre for Robotic Surgery, Imperial College London, London, United Kingdom
| | - Pietro Mascagni
- ICube, University of Strasbourg, CNRS, France; IHU Strasbourg, Strasbourg, France
| | | | - Adrian Park
- Department of Surgery, Anne Arundel Health System, Annapolis, Maryland, USA; Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Carla Pugh
- Department of Surgery, Stanford University School of Medicine, Stanford, California, USA
| | - Danail Stoyanov
- Wellcome/EPSRC Centre for Interventional and Surgical Sciences, University College London, London, United Kingdom
| | - Swaroop S Vedula
- The Malone Center for Engineering in Healthcare, The Johns Hopkins University, Baltimore, Maryland, USA
| | - Kevin Cleary
- The Sheikh Zayed Institute for Pediatric Surgical Innovation, Children's National Hospital, Washington, D.C., USA
| | | | - Germain Forestier
- L'Institut de Recherche en Informatique, Mathématiques, Automatique et Signal (IRIMAS), University of Haute-Alsace, Mulhouse, France; Faculty of Information Technology, Monash University, Clayton, Victoria, Australia
| | - Bernard Gibaud
- LTSI, Inserm UMR 1099, University of Rennes 1, Rennes, France
| | - Teodor Grantcharov
- University of Toronto, Toronto, Ontario, Canada; The Li Ka Shing Knowledge Institute of St. Michael's Hospital, Toronto, Ontario, Canada
| | - Makoto Hashizume
- Kyushu University, Fukuoka, Japan; Kitakyushu Koga Hospital, Fukuoka, Japan
| | - Doreen Heckmann-Nötzel
- Division of Computer Assisted Medical Interventions (CAMI), German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Hannes G Kenngott
- Department for General, Visceral and Transplantation Surgery, Heidelberg University Hospital, Heidelberg, Germany
| | - Ron Kikinis
- Department of Radiology, Brigham and Women's Hospital, and Harvard Medical School, Boston, Massachusetts, USA
| | | | - Nassir Navab
- Computer Aided Medical Procedures, Technical University of Munich, Munich, Germany; Department of Computer Science, The Johns Hopkins University, Baltimore, Maryland, USA
| | - Sinan Onogur
- Division of Computer Assisted Medical Interventions (CAMI), German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Tobias Roß
- Division of Computer Assisted Medical Interventions (CAMI), German Cancer Research Center (DKFZ), Heidelberg, Germany; Medical Faculty, Heidelberg University, Heidelberg, Germany
| | - Raphael Sznitman
- ARTORG Center for Biomedical Engineering Research, University of Bern, Bern, Switzerland
| | - Russell H Taylor
- Department of Computer Science, The Johns Hopkins University, Baltimore, Maryland, USA
| | - Minu D Tizabi
- Division of Computer Assisted Medical Interventions (CAMI), German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Martin Wagner
- Department for General, Visceral and Transplantation Surgery, Heidelberg University Hospital, Heidelberg, Germany
| | - Gregory D Hager
- The Malone Center for Engineering in Healthcare, The Johns Hopkins University, Baltimore, Maryland, USA; Department of Computer Science, The Johns Hopkins University, Baltimore, Maryland, USA
| | - Thomas Neumuth
- Innovation Center Computer Assisted Surgery (ICCAS), University of Leipzig, Leipzig, Germany
| | - Nicolas Padoy
- ICube, University of Strasbourg, CNRS, France; IHU Strasbourg, Strasbourg, France
| | - Justin Collins
- Division of Surgery and Interventional Science, University College London, London, United Kingdom
| | - Ines Gockel
- Department of Visceral, Transplant, Thoracic and Vascular Surgery, Leipzig University Hospital, Leipzig, Germany
| | - Jan Goedeke
- Pediatric Surgery, Dr. von Hauner Children's Hospital, Ludwig-Maximilians-University, Munich, Germany
| | - Daniel A Hashimoto
- University Hospitals Cleveland Medical Center, Case Western Reserve University, Cleveland, Ohio, USA; Surgical AI and Innovation Laboratory, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Luc Joyeux
- My FetUZ Fetal Research Center, Department of Development and Regeneration, Biomedical Sciences, KU Leuven, Leuven, Belgium; Center for Surgical Technologies, Faculty of Medicine, KU Leuven, Leuven, Belgium; Department of Obstetrics and Gynecology, Division Woman and Child, Fetal Medicine Unit, University Hospitals Leuven, Leuven, Belgium; Michael E. DeBakey Department of Surgery, Texas Children's Hospital and Baylor College of Medicine, Houston, Texas, USA
| | - Kyle Lam
- Department of Surgery and Cancer, Imperial College London, London, United Kingdom
| | - Daniel R Leff
- Department of BioSurgery and Surgical Technology, Imperial College London, London, United Kingdom; Hamlyn Centre for Robotic Surgery, Imperial College London, London, United Kingdom; Breast Unit, Imperial Healthcare NHS Trust, London, United Kingdom
| | - Amin Madani
- Department of Surgery, University Health Network, Toronto, Ontario, Canada
| | - Hani J Marcus
- National Hospital for Neurology and Neurosurgery, and UCL Queen Square Institute of Neurology, London, United Kingdom
| | - Ozanan Meireles
- Massachusetts General Hospital, and Harvard Medical School, Boston, Massachusetts, USA
| | - Alexander Seitel
- Division of Computer Assisted Medical Interventions (CAMI), German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Dogu Teber
- Department of Urology, City Hospital Karlsruhe, Karlsruhe, Germany
| | - Frank Ückert
- Institute for Applied Medical Informatics, Hamburg University Hospital, Hamburg, Germany
| | - Beat P Müller-Stich
- Department for General, Visceral and Transplantation Surgery, Heidelberg University Hospital, Heidelberg, Germany
| | - Pierre Jannin
- LTSI, Inserm UMR 1099, University of Rennes 1, Rennes, France
| | - Stefanie Speidel
- Division of Translational Surgical Oncology, National Center for Tumor Diseases (NCT/UCC) Dresden, Dresden, Germany; Centre for Tactile Internet with Human-in-the-Loop (CeTI), TU Dresden, Dresden, Germany
| |
Collapse
|
27
|
Noltes ME, Cottrell J, Madani A, Rotstein L, Gomez-Hernandez K, Devon K, Boggild MK, Goldstein DP, Wong EM, Brouwers AH, Kruijff S, Eskander A, Monteiro E, Pasternak JD. Quality Indicators for the Diagnosis and Management of Primary Hyperparathyroidism. JAMA Otolaryngol Head Neck Surg 2022; 148:209-219. [PMID: 34989783 DOI: 10.1001/jamaoto.2021.3858] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Abstract
Importance Primary hyperparathyroidism (pHPT) is a common endocrine disorder with many diagnostic and treatment challenges. Despite high-quality guidelines, care is variable, and there is low adherence to evidence-based treatment pathways. Objective To develop quality indicators (QIs) to evaluate the diagnosis and treatment of pHPT that could measure, improve, and optimize quality of care and outcomes for patients with this disease. Design, Setting, and Participants This quality improvement study used a guideline-based approach to develop QIs that were ranked by a Canadian 9-member expert panel of 3 endocrinologists, 3 otolaryngologists, and 3 endocrine surgeons. Data were analyzed between September 2020 and May 2021. Main Outcomes and Measures Candidate indicators (CIs) were extracted from published primary hyperparathyroidism guidelines and summarized with supporting evidence. The 9-member expert panel rated each CI on the validity, reliability, and feasibility of measurement. Final QIs were selected from CIs using the modified RAND-University of California, Los Angeles appropriateness methodology. All panelists were then asked to rank the top 5 QIs for primary, endocrine, and surgical care. Results Forty QIs were identified and evaluated by the expert panel. After 2 rounds of evaluations and discussion, a total of 18 QIs were selected as appropriate measures of high-quality care. The top 5 QIs for primary, endocrine, and surgical care were selected following panelist rankings. Conclusions and Relevance This quality improvement study proposes 18 QIs for the diagnosis and management of pHPT. Furthermore, the top 5 QIs applicable to physicians commonly treating pHPT, including general physicians, internists, endocrinologists, otolaryngologists, and surgeons, are included. These QIs not only assess the quality of care to guide the process of improvement, but also can assess the implementation of evidence-based guideline recommendations. Using these indicators in clinical practice and health system registries can improve quality and cost-effectiveness of care for patients with pHPT.
Collapse
Affiliation(s)
- Milou E Noltes
- Department of Surgery, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands.,Department of Nuclear Medicine and Molecular Imaging, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands.,University Health Network, Department of Surgery, University of Toronto, Toronto, Ontario, Canada
| | - Justin Cottrell
- Department of Otolaryngology-Head and Neck Surgery, University of Toronto, Toronto, Ontario, Canada
| | - Amin Madani
- University Health Network, Department of Surgery, University of Toronto, Toronto, Ontario, Canada
| | - Lorne Rotstein
- University Health Network, Department of Surgery, University of Toronto, Toronto, Ontario, Canada
| | | | - Karen Devon
- University Health Network, Department of Surgery, University of Toronto, Toronto, Ontario, Canada.,Department of Surgery, Women's College Hospital, Toronto, Ontario, Canada.,Joint Centre for Bioethics, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
| | - Miranda K Boggild
- Department of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - David P Goldstein
- Department of Otolaryngology-Head and Neck Surgery, University of Toronto, Toronto, Ontario, Canada
| | - Evelyn M Wong
- University Health Network, Division of Endocrinology, Department of Medicine, University of Toronto, Toronto, Ontario, Canada.,LMC Diabetes & Endocrinology, Toronto, Ontario, Canada
| | - Adrienne H Brouwers
- Department of Nuclear Medicine and Molecular Imaging, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Schelto Kruijff
- Department of Surgery, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands.,Department of Nuclear Medicine and Molecular Imaging, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Antoine Eskander
- Department of Otolaryngology-Head and Neck Surgery, University of Toronto, Toronto, Ontario, Canada
| | - Eric Monteiro
- Department of Otolaryngology-Head and Neck Surgery, University of Toronto, Toronto, Ontario, Canada
| | - Jesse D Pasternak
- University Health Network, Department of Surgery, University of Toronto, Toronto, Ontario, Canada
| |
Collapse
|
28
|
Johnson G, Vergis A, Unger B, Park J, Gillman L, Hickey K, Pace D, Azin A, Guidolin K, Lam-Tin-Cheung K, Chadi S, Quereshy F, Guidolin K, Catton J, Rubin B, Bell J, Marangos J, Heesters A, Stuart-McEwan T, Quereshy F, Shariff F, Wright F, Ahmed N, Nadler A, Hallet J, Gentles J, Chen L, Hwang H, Parapini M, Hirpara D, Sidhu R, Scott T, Karimuddin A, Guo R, Nguyen A, Osborn J, Wiseman S, Nabata K, Ertel E, Hwang H, Lenet T, Baker L, Park L, Vered M, Zahrai A, Shorr R, Davis A, McIsaac D, Tinmouth A, Fergusson D, Martel G, Nabata K, Rummel S, Stefic-Cubic M, Karimuddin A, Stewart M, Melck A, McKechnie T, Anpalagan T, Ichhpuniani S, Lee Y, Ramji K, Eskicioglu C, Zhu A, Deng S, Greene B, Tsang M, Palter V, Jayaraman S, McKechnie T, Mann A, Tittley J, Cadeddu M, Nguyen M, Madani A, Pasternak J, McKechnie T, Ramji K, Hong D, Qu L, Istl A, Tang E, Gray D, Zuckerman J, Coburn N, Callum J, McLeod R, Pearsall E, Lin Y, Turgeon A, Martel G, Hallet J, Mahar A, Kammili A, Kriviraltcheva-Kaneva P, Lee L, Cools-Lartigue J, Ferri L, Mueller C, Zuckerman J, Haas B, Tillman B, Guttman M, Chesney T, Zuk V, Mahar A, Hsu A, Chan W, Vasdev R, Coburn N, Hallet J, D'Souza K, Huynh C, Ling LCJ, Warburton R, Hwang H, Hameed M, Glass L, Williamson H, Murphy P, Tang E, Leslie K, Hawel J, Kerr L, Zablotny S, Roldan H, He W, Jiang X, Zheng B, Lee L, Fiore J, Feldman L, Fried G, Mueller C, Valanci S, Balvardi S, Cipolla J, Kaneva P, Demyttenaere S, Boutros M, Lee L, Feldman L, Fiore J, Balvardi S, Alhashemi M, Cipolla J, Lee L, Fiore J, Feldman L, Miles A, Purich K, Verhoeff K, Shapiro J, Bigam D, Kung J, Fecso A, Chesney T, Mosko J, Skubleny D, Hamilton P, Ghosh S, Widder S, Schiller D, Do U, El Kefraoui C, Pook M, Barone N, Balvardi S, Montgomery H, Nguyen-Powanda P, Rajabiyazdi F, Elhaj H, Lapointe-Gagner M, Olleik G, Kaneva P, Antoun A, Safa N, Di Lena E, Meterissian S, Meguerditchian A, Fried G, Alhashemi M, Lee F, Baldini G, Feldman L, Fiore J, Serrano Aybar PE, Parpia S, Ruo L, Tywonek K, Lee S, O'Neill C, Faisal N, Alfayyadh A, Gundayao M, Meyers BM, Habashi R, Kruse C, McKechnie T, Levin M, Aldrich K, Grantcharov T, Langerman A, Forbes H, Anantha R, Fawcett V, Hetherington A, Pravong V, Gervais M, Rakovich G, Selvam R, Hu R, Musselman R, Raiche I, Moloo H, Liu R, Elnahas A, Alkhamesi N, Hawel J, Tang E, Alnumay A, Schlachta C, Walser E, Zhang C, Cristancho S, Ott M, Lee A, Niu B, Balaa F, Gawad N, Ren K, Qiu Y, Hamann K, How N, Leveille C, Davidson A, Eqbal A, Sardiwalla Y, Korostensky M, McKechnie T, Lee E, Yang I, Ren K, Muaddi H, Stukel T, de Mestral C, Nathens A, Karanicolas P, Frigault J, Lemieux S, Breton D, Bouchard P, Bouchard A, Grégoire R, Letarte F, Bouchard G, Drolet S, Frigault J, Avoine S, Drolet S, Letarte F, Bouchard A, Gagné J, Thibault C, Grégoire R, Jutras Bouthillette N, Gosselin M, Bouchard P, Rosenzveig A, Stuleanu T, Jarrar A, Kolozsvari N, Skelhorne-Gross G, Nenshi R, Jerath A, Gomez D, Singh K, Amir T, Liu E, Farquharson S, Mao R, Lan L, Yan J, Allard-Coutu A, Mierzwa A, Tin R, Brisebois R, Bradley N, Wigen R, Walser E, Hartford L, Van Koughnett J, Vogt K, Hilsden R, Parry N, Allen L, Leslie K, Raskin R, Jones J, Neumann K, Dwyer C, Strickland M, Bradley N, O'Dochartaigh D, Lobay K, Kabaroff A, Chang E, Widder S, Anantha R, Sun W, Beck J, Anantha R, Liu R, Davidson J, Jones S, Van Hooren T, Van Koughnett J, Ott M, Schmitz E, Raiche I, Sun W, El Hafid M, Dang J, Mocanu V, Lutzak G, Sultanian R, Wong C, Karmali S, Schmitz E, Petrera M, Pickell M, Auer R, Patro N, Li B, Lee Y, Wilson H, Mocanu V, Sun W, Dang J, Jogiat U, Kung J, Switzer N, Karmali S, Wong C, Li C, Al Hinai A, Cieply A, Hawes H, Joos E, Saleh A, Li C, Saleh A, Engels P, Drung J, Allen L, Leslie K, Pang G, Kwong M, Schlachta C, Alkhamesi N, Hawel J, Elnahas A, Guidolin K, Ellsmere J, Chadi S, Quereshy F, Chang D, Hutter M, Spence R, Abou Khalil M, Boutros M, Vasilevsky C, Morin N, Longtin Y, Liberman S, Demyttenaere S, Montpetit P, Poirier M, Mukherjee K, Sebajang H, Younan R, Schwenter F, De Broux E, Larsen K, Skelhorne-Gross G, Beckett A, Nantais J, Gomez D, Lan L, Mao R, Kay J, Lohre R, Ayeni O, Goel D, de Sa D, He R, Hylton D, Bedard E, Johnson S, Laing B, Valji A, Hanna W, Turner S, Akhtar-Danesh G, Akhtar-Danesh N, Shargall Y, Akhtar-Danesh G, Akhtar-Danesh N, Shargall Y, Hirpara D, Gupta V, Kidane B, Limbachia J, Sullivan K, Farrokhyar F, Leontiadis G, Patel Y, Churchill I, Hylton D, Xie F, Seely A, Spicer J, Kidane B, Turner S, Yasufuku K, Hanna W, Jogiat U, Sun W, Dang J, Mocanu V, Kung J, Karmali S, Turner S, Switzer N, Patel Y, Churchill I, Sullivan K, Beauchamp M, Wald J, Mbuagbaw L, Agzarian J, Shargall Y, Finley C, Fahim C, Hanna W, Abbas M, Olaiya O, Begum H, Mbuagbaw L, Finley C, Hanna W, Agzarian J, Shargall Y, Ednie A, Palma D, Warner A, Malthaner R, Fortin D, Qiabi M, Nayak R, Nguyen T, Louie A, Rodrigues G, Yaremko B, Laba J, Inculet R, Alaichi J, Patel Y, Hanna W, Turner S, Mador B, Lai H, White J, Kim M, Hirpara D, Kidane B, Louie A, Zuk V, Darling G, Rousseau M, Chesney T, Coburn N, Hallet J, Lee Y, Samarasinghe Y, Lee M, Thiru L, Shargall Y, Finley C, Hanna W, Levine O, Juergens R, Agzarian J, Nayak R, Brogly S, Li W, Lougheed D, Petsikas D, Mistry N, Gatti A, Churchill I, Patel Y, Hanna W, Abdul S, Anestee C, Gilbert S, Sundaresan S, Seely A, Villeneuve P, Maziak D, Razzak R, Ashrafi A, Tregobov N, Hassanzadeh N, Stone S, Panjwani A, Bong T, Bond R, Hafizi A, De Meo M, Rayes R, Milette S, Vagai M, Usatii M, Chandrasekaran A, Giannias B, Bourdeau F, Sangwan V, Bertos N, Moraes C, Huang S, Quail D, Walsh L, Camilleri-Broet S, Fiset P, Cools-Lartigue J, Ferri L, Spicer J, Kammili A, Bilgic E, Quaiattini A, Maurice-Ventouris M, Najmeh S, Mueller C, Esther L, Begum H, Agzarian J, Hanna W, Finley C, Shargall Y, Lee Y, Lu J, Malhan R, Shargall Y, Finley C, Hanna W, Agzarian J, Brophy S, Brennan K, French D, Resende V, Momtazi M, Solaja O, Gilbert S, Maziak D, Seely A, Sundaresan S, Villeneuve P, Sisson D, Donahoe L, Bedard P, Hansen A, De Perrot M, Alghamedi A, Simone A, Begum H, Hanna W, Shargall Y, Turner S, Huang J, Lai H, Bedard E, Shargall Y, Murthy S, Lin J, Darling G, Malthaner R, Kidane B, Seely A, Li H, Crowther M, Linkins L, Lau E, Schneider L, Hanna W, Finley C, Agzarian J, Douketis J, Greenberg B, Gupta V, Allen-Avodabo C, Davis L, Zhao H, Kidane B, Darling G, Coburn N, Huynh C, Cools-Lartigue J, Ferri L, Najmeh S, Sirois C, Mulder D, Spicer J, Al Rawahi A, Aftab Abdul S, Nguyen D, Anstee C, Delic E, Gilbert S, Maziak D, Villeneuve P, Seely A, Sisson D, Sasewich H, Islam T, Low D, Darling G, Turner S, Humer M, Abdul S, Nguyen D, Al Rawahi A, Anstee C, Delic E, Gilbert S, Villeneuve P, Maziak D, Seely A, Le Nguyen D, Aftab Abdul S, Al Rawahi A, Anstee C, Delic E, Gilbert S, Villeneuve P, Maziak D, Seely A, Patel Y, Kay M, Churchill I, Sullivan K, Shargall Y, Shayegan B, Adili A, Hanna W, Kaafarani M, Huynh C, Chouiali F, Muthukrishnan N, Maleki F, Ovens K, Gold M, Sorin M, Falutz R, Rayes R, Forghani R, Spicer J, Hunka N, Kennedy R, Bigsby R, Bharadwaj S, Gowing S, Churchill I, Gatti A, Hylton D, Sullivan K, Patel Y, Farrokhyar F, Leontiadis G, Hanna W, Finley C, Begum H, Pearce K, Agzarian J, Hanna W, Shargall Y, Akhtar-Danesh N, Jones D, Anstee C, Kumar S, Gingrich M, Simone A, Ahmadzai Z, Thavorn K, Seely A, Gupta V, Namavarian A, Mohammed A, Uddin S, Jones D, Behzadi A, Brar A, Qu L, Qiabi M, Nayak R, Malthaner R, Peters E, Buduhan G, Tan L, Liu R, Srinathan S, Kidane B, Gupta V, Levy J, Kidane B, Mahar A, Ringash J, Sutradhar R, Darling G, Coburn N, Robinson M, Bednarek L, Buduhan G, Liu R, Tan L, Srinathan S, Kidane B, Wang H, French D, MacDonald D, Graham K, Enns S, Buduhan G, Srinathan S, Liu R, Tan A, Kidane B, Bruinooge A, Poole E, Pascoe C, Karakach T, Buduhan G, Tan L, Srinathan S, Halayko A, Kidane B, Verhoeff K, Mocanu V, Fang B, Dang J, Kung J, Switzer N, Birch D, Karmali S, Johnson G, Singh H, Vergis A, Park J, Hershorn O, Hochman D, Helewa R, Johnson G, Robertson R, Vergis A, Johnson G, Vergis A, Singh H, Park J, Helewa R, Azin A, Cahill C, Lipson M, Afzal A, Maclean A, Wong C, Roen S, Buie W, McKechnie T, Anpalagan T, Chu M, Lee Y, Amin N, Hong D, Eskicioglu C, McKechnie T, Ramji K, Kruse C, Jaffer H, Rebello R, Amin N, Doumouras A, Hong D, Eskicioglu C, Hajjar R, Oliero M, Cuisiniere T, Fragoso G, Calvé A, Djediai S, Annabi B, Richard C, Santos M, Purich K, Zhou Y, Dodd S, Ring B, Yuan Y, White J, Garfinkle R, Dell'Aniello S, Bhatnagar S, Morin N, Ghitulescu G, Faria J, Vasilevsky C, Brassard P, Boutros M, Garfinkle R, Salama E, Amar-Zifkin A, Morin N, Ghitulescu G, Faria J, Vasilevsky C, Boutros M, Talwar G, Daniel R, McKechnie T, Levine O, Eskicioglu C, AlSulaim H, Alqahtani M, Garfinkle R, Al-Masrouri S, Vasilevsky C, Morin N, Boutros M, McKechnie T, Chen A, Patel A, Lee Y, Doumouras A, Hong D, Eskicioglu C, Brissette V, Al Busaidi N, Rajabiyazdi F, Moon J, Demian M, Vasilevsky C, Morin N, Boutros M, Selvam R, Moloo H, MacRae H, Alam F, Raiche I, Holland J, Cwintal M, Rigas G, Vasilevsky C, Morin N, Ghitulescu G, Faria J, Pang A, Boutros M, Holland J, Moon J, Marinescu D, Morin N, Ghitulescu G, Pang A, Vasilevsky C, Boutros M, Brown C, Karimuddin A, Raval M, Phang P, Ghuman A, Li M, Muncner S, Mihajlovic I, Dykstra M, Snelgrove R, Wang H, Monton O, Smith A, Moon J, Demian M, Garfinkle R, Vasilevsky C, Rajabiyazdi F, Boutros M, AlAamer O, AlSelaim N, AlMalki M, Al-Osail A, Ruxton R, Manuel P, Mohamed F, Motamedi MK, Serahati S, Rajendran L, Brown C, Raval M, Karimuddin A, Ghuman A, Phang T, Caminsky N, Moon J, Rajabiyazdi F, Chadi S, Alavi K, Paquette I, MacLean T, Wexner S, Liberman S, Steele S, Park J, Patel S, Bordeianou L, Auer R, Sylla P, Morin N, Ghuman A, Boutros M, Bayat Z, Kennedy E, Victor C, Govindarajan A, Liang J, Vasilevsky C, Pang A, Ghitulescu G, Faria J, Morin N, Boutros M, Marinescu D, Roy H, Baig Z, Karimmudin A, Raval M, Brown C, Phang T, Gill D, Ginther N, Moon J, Marinescu D, Pang A, Ghitulescu G, Faria J, Morin N, Vasilevsky C, Boutros M, Moon J, Pang A, Ghitulescu G, Faria J, Morin N, Vasilevsky C, Boutros M, Salama E, Alrashid F, Vasilevsky C, Ghitulescu G, Faria J, Morin N, Boutros M, Wiseman V, Zhang L, MacDonald P, Merchant SM, Wattie Barnett K, Caycedo-Marulanda A, Patel SV, Harra Z, Vasilevsky C, Ghitulescu G, Morin N, Boutros M, Pang A, Hegagi M, Alqahtani M, Morin N, Ghitulescu G, Vasilevsky C, Boutros M, Alghaithi N, Marinescu D, Al-Masrouri S, Pang A, Vasilevsky C, Boutros M, Papillon E, Kasteel N, Kaur G, Bindra S, Malhotra A, Graham C, MacLean A, Beck P, Jijon H, Ferraz J, Buie W, Szwimer R, Moon J, Demian M, Pang A, Morin N, Vasilevsky C, Rajabiyazdi F, Boutros M, Azin A, Merchant S, Kong W, Gyawali B, Hanna T, Chung W, Nanji S, Patel S, Booth C, Li V, Awan A, Serrano P, Jacobson M, Chanco M, Wen V, Singh N, Peiris L, Pasieka J, Ghatage P, Buie D, MacLean T, Bouchard-Fortier A, Mack L, Marini W, Zheng W, Swallow C, Reedijk M, DiPasquale A, Peiris L, Prus-Czrnecka Z, Delmar L, Gagnon N, Villiard R, Martel É, Cadrin-Chênevert A, Ledoux É, Racicot C, Mysuria S, Bazzarelli A, Pao J, Chen L, Zhang M, McKevitt E, Warburton R, Kuusk U, Van Laeken N, Bovill E, Isaac K, Dingee C, Hunter-Smith A, Cuthbert C, Fergus K, Barbera L, Efegoma Y, Howell D, Isherwood S, Levasseur N, Scheer A, Simmons C, Srikantham A, Temple-Orberle C, Xu Y, Metcalfe K, Quan M, Alqaydi A, la J, Merchant S, Digby G, Pravong V, Brind'Amour A, Sidéris L, Dubé P, De Guerke L, Fortin S, Auclair M, Trilling B, Tremblay J, Di Lena É, Hopkins B, Wong S, Meterissian S, Di Lena É, Barone N, Hopkins B, Dumitra S, Kaneva P, Fiore J, Meterissian S, Mysuria S, McKevitt E, Warburton R, Chen L, Bazzarelli A, Pao J, Bovill E, Zhang M, Kuusk U, Isaac K, Van Laeken N, Dingee C, Kapur H, McKevitt E, Warburton R, Pao J, Dingee C, Bazarelli A, Kuusk U, Chen L, Cadili L, DeGirolamo K, McKevitt E, Pao J, Dingee C, Bazzarelli A, Warburton R, Ng D, Ali A, Eymae D, Lee K, Brar S, Conner J, Magalhaes M, Swallow C, Allen K, Baliski C, Cyr D, Sari A, Messenger D, Driman D, Assarzadegan N, Juda A, Swallow C, Kennedy E, Brar M, Conner J, Kirsch R, Allard-Coutu A, Singh K, Lamontagne A, Gamache Y, Allard-Coutu A, Mardinger C, Lee C, Duckworth R, Brindle M, Fraulin F, Austen L, Kortbeek J, Hyndman M, Nguyen D, Jamjoum G, Meguerditchian A, Langer S, Yuan Xu Y, Kong S, Quan M, Lim D, Retrouvey H, Kerrebijn I, Butler K, O'Neill A, Cil T, Zhong T, Hofer S, McCready D, Metcalfe K, Lim D, Greene B, Look Hong N, Parapini M, Skipworth J, Mah A, Desai S, Chung S, Scudamore C, Segedi M, Vasilyeva E, Li J, Kim P, Verhoeff K, Deprato A, Purich K, Kung J, Bigam D, Dajani K, Lenet T, Gilbert R, Smoot R, Martel G, Tzeng C, Rocha F, Yohanathan L, Cleary S, Bertens K, Reyna-Sepulveda F, Badrudin D, Gala-Lopez B, Hanna N, Brogly S, Wei X, Booth C, Nanji S, Zuckerman J, Coburn N, Mahar A, Callum J, Kaliwal Y, Jayaraman S, Wei A, Martel G, Hallet J, Zuckerman J, Jayaraman S, Wei A, Mahar A, Kaliwal Y, Martel G, Coburn N, Hallet J, Henault D, Barrette B, Pelletier S, Thebault P, Beaudry-Simoneau E, Rong Z, Plasse M, Dagenais ARM, Létourneau R, Lapointe R, Vandenbroucke-Menu F, Nguyen B, Soucy G, Turcotte S, Lemke M, Waugh E, Leslie K, Quan D, Skaro A, Tang E, Lund M, Allen L, Glinka J, Jada G, Quan D, Skaro A, Tang E, Park L, Daza J, Li V, Msallak H, Zhang B, Workneh A, Faisal S, Faisal R, Fabbro M, Gu C, Claassen M, Zuk V, Hallet J, Martel G, Sapisochin G, Serrano P, Glinka J, Skaro A, Leslie K, Jada G, Quan D, Tang E, Waugh E, Lemke M, Glinka J, Skaro A, Leslie K, Tang E, Waugh E, Breadner D, Liu R, Tang E, Allen L, Welch S, Skaro A, Leslie K, Glinka J, Waugh E, Tang E, Jada G, Quan D, Skaro A, Webb A, Lester E, Shapiro A, Eurich D, Bigam D, Essaji Y, Shrader H, Nayyar A, Suraju M, Williams-Perez S, Ear P, Chan C, Smith V, Rivers-Bowerman M, Costa A, Stueck A, Campbell N, Allen S, Gala-Lopez B, Gilbert R, Lenet T, Cleary S, Smoot R, Tzeng C, Rocha F, Martel G, Bertens K, Mir Z, Golding H, McKeown S, Nanji S, Flemming J, Groome P, Mir Z, Djerboua M, Nanji S, Flemming J, Groome P, Elbekri S, Turcotte S, Girard E, Morency-Potvin P, Lapointe R, Vandenbroucke-Menu F, Dagenais M, Roy A, Letourneau R, Plasse M, Simoneau E, Rong Z, Zuker N, Oakley M, Chartrand G, Misheva B, Bendavid Y, Frigault J, Lemieux S, Breton D, Bouchard G, Drolet S, Melland-Smith M, Smith L, Tan J, Kahn U, McLean C, Mocanu V, Birch D, Karmali S, Switzer N, Fortin M, Paré X, Doyon A, Keshavjee S, Schwenger K, Yadav J, Fischer S, Jackson T, Allard J, Okrainec A, Lee Y, Anvari S, Chu M, Lovrics O, Aditya I, Malhan R, Khondker A, Walsh M, Doumouras A, Hong D, He W, Vergis A, Hardy K, Romanescu R, Deaninck F, Linton J, Fowler-Woods M, Fowler-Woods A, Shingoose G, Vergis A, Hardy K, Zmudzinski M, Cloutier Z, McKechnie T, Lee Y, Archer V, Doumouras A, Shiroky J, Abu Halimah J, Ramji K, Boudreau V, Mierzwa A, Mocanu V, Marcil G, Dang J, Switzer N, Birch D, Karmali S, Mierzwa A, Jarrar A, Hardy-Henry A, Kolozsvari N, Lin W, Hagen J, Connell M, Sun W, Dang J, Mocanu V, Kung J, Switzer N, Birch D, Karmali S. 2021 Canadian Surgery Forum01. Design and validation of a unique endoscopy simulator using a commercial video game03. Is ethnicity an appropriate measure of health care marginalization?: A systematic review and meta-analysis of the outcomes of diabetic foot ulceration in the Aboriginal population04. Racial disparities in surgery — a cross-specialty matched comparison between black and white patients05. Starting late does not increase the risk of postoperative complications in patients undergoing common general surgical procedures06. Ethical decision-making during a health care crisis: a resource allocation framework and tool07. Ensuring stability in surgical training program leadership: a survey of program directors08. Introducing oncoplastic breast surgery in a community hospital09. Leadership development programs for surgical residents: a review of the literature10. Superiority of non-opioid postoperative pain management after thyroid and parathyroid operations: a systematic review and meta-analysis11. Timing of ERCP relative to cholecystectomy in patients with ductal gallstone disease12. A systematic review and meta-analysis of randomized controlled trials comparing intraoperative red blood cell transfusion strategies13. Postoperative outcomes after frail elderly preoperative assessment clinic: a single-institution Canadian perspective14. Selective opioid antagonists following bowel resection for prevention of postoperative ileus: a systematic review and meta-analysis15. Peer-to-peer coaching after bile duct injury16. Laparoscopic median arcuate ligament release: a video abstract17. Retroperitoneoscopic approach to adrenalectomy19. Endoscopic Zenker diverticulotomy: a video abstract20. Variability in surgeons’ perioperative management of pheochromocytomas in Canada21. The contribution of surgeon and hospital variation in transfusion practice to outcomes for patients undergoing elective gastrointestinal cancer surgery: a population-based analysis22. Perioperative transfusions for gastroesophageal cancers: risk factors and short- and long-term outcomes23. The association between frailty and time alive and at home after cancer surgery among older adults: a population-based analysis24. Psychological and workplace-related effects of providing surgical care during the COVID-19 pandemic in British Columbia, Canada25. Safety of venous thromboembolism prophylaxis in endoscopic retrograde cholangiopancreatography: a systematic review26. Complications and reintervention following laparoscopic subtotal cholecystectomy: a systematic review and meta-analysis27. Synchronization of pupil dilations correlates with team performance in a simulated laparoscopic team coordination task28. Receptivity to and desired design features of a surgical peer coaching program: an international survey9. Impact of the COVID-19 pandemic on rates of emergency department utilization due to general surgery conditions30. The impact of the current COVID-19 pandemic on the exposure of general surgery trainees to operative procedures31. Association between academic degrees and research productivity: an assessment of academic general surgeons in Canada32. Laparoscopic endoscopic cooperative surgery (LECS) for subepithelial gastric lesion: a video presentation33. Effect of the COVID-19 pandemic on acute care general surgery at an academic Canadian centre34. Opioid-free analgesia after outpatient general surgery: a pilot randomized controlled trial35. Impact of neoadjuvant immunotherapy or targeted therapies on surgical resection in patients with solid tumours: a systematic review and meta-analysis37. Surgical data recording in the operating room: a systematic review of modalities and metrics38. Association between nonaccidental trauma and neighbourhood socioeconomic status during the COVID-19 pandemic: a retrospective analysis39. Laparoscopic repair of a transdiaphragmatic gastropleural fistula40. Video-based interviewing in medicine: a scoping review41. Indocyanine green fluorescence angiography for prevention of anastomotic leakage in colorectal surgery: a cost analysis from the hospital payer’s perspective43. Perception or reality: surgical resident and faculty assessments of resident workload compared with objective data45. When illness and loss hit close to home: Do health care providers learn how to cope?46. Remote video-based suturing education with smartphones (REVISE): a randomized controlled trial47. The evolving use of robotic surgery: a population-based analysis48. Prophylactic retromuscular mesh placement for parastomal hernia prevention: a retrospective cohort study of permanent colostomies and ileostomies49. Intracorporeal versus extracorporeal anastomosis in laparoscopic right hemicolectomy: a retrospective cohort study on anastomotic complications50. A lay of the land — a description of Canadian academic acute care surgery models51. Emergency general surgery in Ontario: interhospital variability in structures, processes and models of care52. Trauma 101: a virtual case-based trauma conference as an adjunct to medical education53. Assessment of the National Surgical Quality Improvement Program Surgical Risk Calculator for predicting patient-centred outcomes of emergency general surgery patients in a Canadian health care system54. Sustainability of a narcotic reduction initiative: 1 year following the Standardization of Outpatient Procedure (STOP) Narcotics Study55. Barriers to transanal endoscopic microsurgery referral56. Geospatial analysis of severely injured rural patients in a geographically complex landscape57. Implementation of an incentive spirometry protocol in a trauma ward: a single-centre pilot study58. Impostor phenomenon is a significant risk factor for burnout and anxiety in Canadian resident physicians: a cross-sectional survey59. Understanding the influence of perioperative education on performance among surgical trainees: a single-centre experience60. The effect of COVID-19 pandemic on current and future endoscopic personal protective equipment practices: a national survey of 77 endoscopists61. Case report: delayed presentation of perforated sigmoid diverticulitis as necrotizing infection of the lower limb62. Investigating disparities in surgical outcomes in Canadian Indigenous populations63. Fundoplication is superior to medical therapy for Barrett esophagus disease regression and progression: a systematic review and meta-analysis64. Development of a novel online general surgery learning platform and a qualitative preimplementation analysis65. Hagfish slime exudate as a potential novel hemostatic agent: developing a standardized assessment protocol66. The effect of the first wave of the COVID-19 pandemic on surgical oncology case volumes and wait times67. Safety of same-day discharge in high-risk patients undergoing ambulatory general surgery68. External validation of the Codman score in colorectal surgery: a pragmatic tool to drive quality improvement69. Improved morbidity and gastrointestinal restoration rates without compromising survival rates for diverting loop ileostomy with colonic lavage versus total abdominal colectomy for fulminant Clostridioides difficile colitis: a multicentre retrospective cohort study70. Potential access to emergency general surgical care in Ontario71. Immersive virtual reality (iVR) improves procedural duration, task completion and accuracy in surgical trainees: a systematic review01. Clinical validation of the Canada Lymph Node Score for endobronchial ultrasound02. Venous thromboembolism in surgically treated esophageal cancer patients: a provincial population-based study03. Venous thromboembolism in surgically treated lung cancer patients: a population-based study04. Is frailty associated with failure to rescue after esophagectomy? A multi-institutional comparative analysis of outcomes05. Routine systematic sampling versus targeted sampling of lymph nodes during endobronchial ultrasound: a feasibility randomized controlled trial06. Gastric ischemic conditioning reduces anastomotic complications in patients undergoing esophagectomy: a systematic review and meta-analysis07. Move For Surgery, a novel preconditioning program to optimize health before thoracic surgery: a randomized controlled trial08. In case of emergency, go to your nearest emergency department — Or maybe not?09. Does preoperative SABR increase the risk of complications from lung cancer resection? A secondary analysis of the MISSILE trial10. Segmental resection for lung cancer: the added value of near-infrared fluorescence mapping diminishes with surgeon experience11. Toward competency-based continuing professional development for practising surgeons12. Stereotactic body radiotherapy versus surgery in older adults with NSCLC — a population-based, matched analysis of long-term dependency outcomes13. Role of adjuvant therapy in esophageal cancer patients after neoadjuvant therapy and curative esophagectomy: a systematic review and meta-analysis14. Evaluation of population characteristics on the incidence of thoracic empyema: an ecological study15. Determining the optimal stiffness colour threshold and stiffness area ratio cut-off for mediastinal lymph node staging using EBUS elastography and AI: a pilot study16. Quality assurance on the use of sequential compression stockings in thoracic surgery (QUESTs)17. The relationship between fissureless technique and prolonged air leak for patients undergoing video-assisted thoracoscopic lobectomy18. CXCR2 inhibition as a candidate for immunomodulation in the treatment of K-RAS-driven lung adenocarcinoma19. Assessment tools for evaluating competency in video-assisted thoracoscopic lobectomy: a systematic review20. Understanding the current practice on chest tube management following lung resection among thoracic surgeons across Canada21. Effect of routine jejunostomy tube insertion in esophagectomy: a systematic review and meta-analysis22. Recurrence of primary spontaneous pneumothorax following bullectomy with pleurodesis or pleurectomy: a retrospective analysis23. Surgical outcomes following chest wall resection and reconstruction24. Outcomes following surgical management of primary mediastinal nonseminomatous germ cell tumours25. Does robotic approach offer better nodal staging than thoracoscopic approach in anatomical resection for non–small cell lung cancer? A single-centre propensity matching analysis26. Competency assessment for mediastinal mass resection and thymectomy: design and Delphi process27. The contemporary significance of venous thromboembolism (deep venous thrombosis [DVT] and pulmonary embolus [PE]) in patients undergoing esophagectomy: a prospective, multicentre cohort study to evaluate the incidence and clinical outcomes of VTE after major esophageal resections28. Esophageal cancer: symptom severity at the end of life29. The impact of pulmonary artery reconstruction on postoperative and oncologic outcomes: a systematic review30. Association with surgical technique and recurrence after laparoscopic repair of paraesophageal hernia: a single-centre experience31. Enhanced recovery after surgery (ERAS) in esophagectomy32. Surgical treatment of esophageal cancer: trends in surgical approach and early mortality at a single institution over the past 18 years34. Adverse events and length of stay following minimally invasive surgery in paraesophageal hernia repair35. Long-term symptom control comparison of Dor and Nissen fundoplication following laparoscopic para-esophageal hernia repair: a retrospective analysis36. Willingness to pay: a survey of Canadian patients’ willingness to contribute to the cost of robotic thoracic surgery37. Radiomics in early-stage lung adenocarcinoma: a prediction tool for tumour immune microenvironments38. Effectiveness of intraoperative pyloric botox injection during esophagectomy: how often is endoscopic intervention required?39. An artificial intelligence algorithm for predicting lymph node malignancy during endobronchial ultrasound40. The effect of major and minor complications after lung surgery on length of stay and readmission41. Measuring cost of adverse events following thoracic surgery: a scoping review42. Laparoscopic paraesophageal hernia repair: characterization by hospital and surgeon volume and impact on outcomes43. NSQIP 5-Factor Modified Frailty Index predicts morbidity but not mortality after esophagectomy44. Trajectory of perioperative HRQOL and association with postoperative complications in thoracic surgery patients45. Variation in treatment patterns and outcomes for resected esophageal cancer at designated thoracic surgery centres46. Patient-reported pretreatment health-related quality of life (HRQOL) predicts short-term survival in esophageal cancer patients47. Analgesic efficacy of surgeon-placed paravertebral catheters compared with thoracic epidural analgesia after Ivor Lewis esophagectomy: a retrospective noninferiority study48. Rapid return to normal oxygenation after lung surgery49. Examination of local and systemic inflammatory changes during lung surgery01. Implications of near-infrared imaging and indocyanine green on anastomotic leaks following colorectal surgery: a systematic review and meta-analysis02. Repeat preoperative endoscopy after regional implementation of electronic synoptic endoscopy reporting: a retrospective comparative study03. Consensus-derived quality indicators for operative reporting in transanal endoscopic surgery (TES)04. Colorectal lesion localization practices at endoscopy to facilitate surgical and endoscopic planning: recommendations from a national consensus Delphi process05. Black race is associated with increased mortality in colon cancer — a population-based and propensity-score matched analysis06. Improved survival in a cohort of patients 75 years and over with FIT-detected colorectal neoplasms07. Laparoscopic versus open loop ileostomy reversal: a systematic review and meta-analysis08. Posterior mesorectal thickness as a predictor of increased operative time in rectal cancer surgery: a retrospective cohort study09. Improvement of colonic anastomotic healing in mice with oral supplementation of oligosaccharides10. How can we better identify patients with rectal bleeding who are at high risk of colorectal cancer?11. Assessment of long-term bowel dysfunction in rectal cancer survivors: a population-based cohort study12. Observational versus antibiotic therapy for acute uncomplicated diverticulitis: a noninferiority meta-analysis based on a Delphi consensus13. Radiotherapy alone versus chemoradiotherapy for stage I anal squamous cell carcinoma: a systematic review and meta-analysis14. Is the Hartmann procedure for diverticulitis obsolete? National trends in colectomy for diverticulitis in the emergency setting from 1993 to 201515. Sugammadex in colorectal surgery: a systematic review and meta-analysis16. Sexuality and rectal cancer treatment: a qualitative study exploring patients’ information needs and expectations on sexual dysfunction after rectal cancer treatment17. Video-based interviews in selection process18. Impact of delaying colonoscopies during the COVID-19 pandemic on colorectal cancer detection and prevention19. Opioid use disorder associated with increased anastomotic leak and major complications after colorectal surgery20. Effectiveness of a rectal cancer education video on patient expectations21. Robotic-assisted rectosigmoid and rectal cancer resection: implementation and early experience at a Canadian tertiary centre22. An online educational app for rectal cancer survivors with low anterior resection syndrome: a pilot study23. The effects of surgeon specialization on the outcome of emergency colorectal surgery24. Outcomes after colorectal cancer resections in octogenarians and older in a regional New Zealand setting — What are the predictors of mortality?25. Long-term outcomes after seton placement for perianal fistulae with and without Crohn disease26. A survey of patient and surgeon preference for early ileostomy closure following restorative proctectomy for rectal cancer — Why aren’t we doing it?27. Crohn disease independently associated with longer hospital admission after surgery28. Short-stay (≤ 1 d) diverting loop ileostomy closure can be selectively implemented without an increase in readmission and complication rates: an ACS-NSQIP analysis29. A comparison of perineal stapled rectal prolapse resection and the Altemeier procedure at 2 Canadian academic hospitals30. Mental health and substance use disorders predict 90-day readmission and postoperative complications following rectal cancer surgery31. Early discharge after colorectal cancer resection: trends and impact on patient outcomes32. Oral antibiotics without mechanical bowel preparation prior to emergency colectomy reduces the risk of organ space surgical site infections: a NSQIP propensity score matched study33. The impact of robotic surgery on a tertiary care colorectal surgery program, an assessment of costs and short-term outcomes — a Canadian perspective34. Should we scope beyond the age limit of guidelines? Adenoma detection rates and outcomes of screening and surveillance colonoscopies in patients aged 75–79 years35. Emergency department admissions for uncomplicated diverticulitis: a nationwide study36. Obesity is associated with a complicated episode of acute diverticulitis: a nationwide study37. Green indocyanine angiography for low anterior resection in patients with rectal cancer: a prospective before-and-after study38. The impact of age on surgical recurrence of fibrostenotic ileocolic Crohn disease39. A qualitative study to explore the optimal timing and approach for the LARS discussion01. Racial, ethnic and socioeconomic disparities in diagnosis, treatment and survival of patients with breast cancer: a SEER-based population analysis02. First-line palliative chemotherapy for esophageal and gastric cancer: practice patterns and outcomes in the general population03. Frailty as a predictor for postoperative outcomes following pancreaticoduodenectomy04. Synoptic electronic operative reports identify practice variation in cancer surgery allowing for directed interventions to decrease variation05. The role of Hedgehog signalling in basal-like breast cancer07. Clinical and patient-reported outcomes in oncoplastic breast conservation surgery from a single surgeon’s practice in a busy community hospital in Canada08. Upgrade rate of atypical ductal hyperplasia: 10 years of experience and predictive factors09. Time to first adjuvant treatment after oncoplastic breast reduction10. Preparing to survive: improving outcomes for young women with breast cancer11. Opioid prescription and consumption in patients undergoing outpatient breast surgery — baseline data for a quality improvement initiative12. Rectal anastomosis and hyperthermic intraperitoneal chemotherapy: Should we avoid diverting loop ileostomy?13. Delays in operative management of early-stage, estrogen-receptor positive breast cancer during the COVID-19 pandemic — a multi-institutional matched historical cohort study14. Opioid prescribing practices in breast oncologic surgery15. Oncoplastic breast reduction (OBR) complications and patient-reported outcomes16. De-escalating breast cancer surgery: Should we apply quality indicators from other jurisdictions in Canada?17. The breast cancer patient experience of telemedicine during COVID-1918. A novel ex vivo human peritoneal model to investigate mechanisms of peritoneal metastasis in gastric adenocarcinoma (GCa)19. Preliminary uptake and outcomes utilizing the BREAST-Q patient-reported outcomes questionnaire in patients following breast cancer surgery20. Routine elastin staining improves detection of venous invasion and enhances prognostication in resected colorectal cancer21. Analysis of exhaled volatile organic compounds: a new frontier in colon cancer screening and surveillance22. A clinical pathway for radical cystectomy leads to a shorter hospital stay and decreases 30-day postoperative complications: a NSQIP analysis23. Fertility preservation in young breast cancer patients: a population-based study24. Investigating factors associated with postmastectomy unplanned emergency department visits: a population-based analysis25. Impact of patient, tumour and treatment factors on psychosocial outcomes after treatment in women with invasive breast cancer26. The relationship between breast and axillary pathologic complete response in women receiving neoadjuvant chemotherapy for breast cancer01. The association between bacterobilia and the risk of postoperative complications following pancreaticoduodenectomy02. Surgical outcome and quality of life following exercise-based prehabilitation for hepatobiliary surgery: a systematic review and meta-analysis03. Does intraoperative frozen section and revision of margins lead to improved survival in patients undergoing resection of perihilar cholangiocarcinoma? A systematic review and meta-analysis04. Prolonged kidney procurement time is associated with worse graft survival after transplantation05. Venous thromboembolism following hepatectomy for colorectal metastases: a population-based retrospective cohort study06. Association between resection approach and transfusion exposure in liver resection for gastrointestinal cancer07. The association between surgeon volume and use of laparoscopic liver resection for gastrointestinal cancer08. Immune suppression through TIGIT in colorectal cancer liver metastases09. “The whole is greater than the sum of its parts” — a combined strategy to reduce postoperative pancreatic fistula after pancreaticoduodenectomy10. Laparoscopic versus open synchronous colorectal and hepatic resection for metastatic colorectal cancer11. Identifying prognostic factors for overall survival in patients with recurrent disease following liver resection for colorectal cancer metastasis12. Modified Blumgart pancreatojejunostomy with external stenting in laparoscopic Whipple reconstruction13. Laparoscopic versus open pancreaticoduodenectomy: a single centre’s initial experience with introduction of a novel surgical approach14. Neoadjuvant chemotherapy versus upfront surgery for borderline resectable pancreatic cancer: a single-centre cohort analysis15. Thermal ablation and telemedicine to reduce resource utilization during the COVID-19 pandemic16. Cost-utility analysis of normothermic machine perfusion compared with static cold storage in liver transplantation in the Canadian setting17. Impact of adjuvant therapy on overall survival in early-stage ampullary cancers: a single-centre retrospective review18. Presence of biliary anaerobes enhances response to neoadjuvant chemotherapy in pancreatic ductal adenocarcinoma19. How does tumour viability influence the predictive capability of the Metroticket model? Comparing predicted-to-observed 5-year survival after liver transplant for hepatocellular carcinoma20. Does caudate resection improve outcomes in patients undergoing curative resection for perihilar cholangiocarcinoma? A systematic review and meta-analysis21. Appraisal of multivariable prognostic models for postoperative liver decompensation following partial hepatectomy: a systematic review22. Predictors of postoperative liver decompensation events following resection in patients with cirrhosis and hepatocellular carcinoma: a population-based study23. Characteristics of bacteriobilia and impact on outcomes after Whipple procedure01. Inverting the y-axis: the future of MIS abdominal wall reconstruction is upside down02. Progressive preoperative pneumoperitoneum: a single-centre retrospective study03. The role of radiologic classification of parastomal hernia as a predictor of the need for surgical hernia repair: a retrospective cohort study04. Comparison of 2 fascial defect closure methods for laparoscopic incisional hernia repair01. Hypoalbuminemia predicts serious complications following elective bariatric surgery02. Laparoscopic adjustable gastric band migration inducing jejunal obstruction associated with acute pancreatitis: aurgical approach of band removal03. Can visceral adipose tissue gene expression determine metabolic outcomes after bariatric surgery?04. Improvement of kidney function in patients with chronic kidney disease and severe obesity after bariatric surgery: a systematic review and meta-analysis05. A prediction model for delayed discharge following gastric bypass surgery06. Experiences and outcomes of Indigenous patients undergoing bariatric surgery: a mixed-methods scoping review07. What is the optimal common channel length in revisional bariatric surgery?08. Laparoscopic management of internal hernia in a 34-week pregnant woman09. Characterizing timing of postoperative complications following elective Roux-en-Y gastric bypass and sleeve gastrectomy10. Canadian trends in bariatric surgery11. Common surgical stapler problems and how to correct them12. Management of choledocholithiasis following Roux-en-Y gastric bypass: a systematic review and meta-analysis. Can J Surg 2021; 64:S80-S159. [PMID: 35483046 PMCID: PMC8677574 DOI: 10.1503/cjs.021321] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Affiliation(s)
- G Johnson
- From the University of Manitoba, Winnipeg, Man
| | - A Vergis
- From the University of Manitoba, Winnipeg, Man
| | - B Unger
- From the University of Manitoba, Winnipeg, Man
| | - J Park
- From the University of Manitoba, Winnipeg, Man
| | - L Gillman
- From the University of Manitoba, Winnipeg, Man
| | - K Hickey
- From Memorial University, St. John's, Nfld
| | - D Pace
- From Memorial University, St. John's, Nfld
| | - A Azin
- From the University of Toronto, Toronto, Ont
| | | | | | - S Chadi
- University Health Network, Toronto, Ont
| | | | | | - J Catton
- University Health Network, Toronto, Ont
| | - B Rubin
- University Health Network, Toronto, Ont
| | - J Bell
- University Health Network, Toronto, Ont
| | | | | | | | | | - F Shariff
- From the University of Toronto, Toronto, Ont
| | - F Wright
- From the University of Toronto, Toronto, Ont
| | - N Ahmed
- From the University of Toronto, Toronto, Ont
| | - A Nadler
- From the University of Toronto, Toronto, Ont
| | - J Hallet
- From the University of Toronto, Toronto, Ont
| | - J Gentles
- From the University of British Columbia, Vancouver, B.C
| | - L Chen
- From the University of British Columbia, Vancouver, B.C
| | - H Hwang
- From the University of British Columbia, Vancouver, B.C
| | - M Parapini
- University of British Columbia, Vancouver, B.C
| | | | - R Sidhu
- University of British Columbia, Vancouver, B.C
| | - T Scott
- University of British Columbia, Vancouver, B.C
| | | | - R Guo
- From the University of British Columbia, Vancouver, B.C
| | - A Nguyen
- From the University of British Columbia, Vancouver, B.C
| | - J Osborn
- From the University of British Columbia, Vancouver, B.C
| | - S Wiseman
- From the University of British Columbia, Vancouver, B.C
| | - K Nabata
- From the University of British Columbia, Vancouver, B.C
| | - E Ertel
- From the University of British Columbia, Vancouver, B.C
| | - H Hwang
- From the University of British Columbia, Vancouver, B.C
| | - T Lenet
- University of Ottawa, Ottawa, Ont
| | - L Baker
- University of Ottawa, Ottawa, Ont
| | - L Park
- University of Ottawa, Ottawa, Ont
| | - M Vered
- Royal College of Surgeons in Ireland, Dublin, Ireland
| | - A Zahrai
- University of Ottawa, Ottawa, Ont
| | - R Shorr
- The Ottawa Hospital, Ottawa, Ont
| | - A Davis
- The Ottawa Hospital, Ottawa, Ont
| | | | | | - D Fergusson
- Ottawa Hospital Research Institute, Ottawa, Ont
| | - G Martel
- The Ottawa Hospital, Ottawa, Ont
| | - K Nabata
- From the University of British Columbia, Vancouver, B.C
| | - S Rummel
- From the University of British Columbia, Vancouver, B.C
| | | | - A Karimuddin
- From the University of British Columbia, Vancouver, B.C
| | - M Stewart
- From the University of British Columbia, Vancouver, B.C
| | - A Melck
- From the University of British Columbia, Vancouver, B.C
| | | | | | | | - Y Lee
- From McMaster University, Hamilton, Ont
| | - K Ramji
- From McMaster University, Hamilton, Ont
| | | | - A Zhu
- From the University of Toronto, Toronto, Ont
| | - S Deng
- From the University of Toronto, Toronto, Ont
| | - B Greene
- From the University of Toronto, Toronto, Ont
| | - M Tsang
- From the University of Toronto, Toronto, Ont
| | - V Palter
- From the University of Toronto, Toronto, Ont
| | - S Jayaraman
- From the University of Toronto, Toronto, Ont
| | | | - A Mann
- From McMaster University, Hamilton, Ont
| | - J Tittley
- From McMaster University, Hamilton, Ont
| | - M Cadeddu
- From McMaster University, Hamilton, Ont
| | - M Nguyen
- University of Toronto, Toronto, Ont
| | - A Madani
- University Health Network, Toronto, Ont
| | | | | | - K Ramji
- From McMaster University, Hamilton, Ont
| | - D Hong
- From McMaster University, Hamilton, Ont
| | - L Qu
- Western University, London, Ont
| | - A Istl
- Johns Hopkins Hospital, Baltimore, Md
| | - E Tang
- Western University, London, Ont
| | - D Gray
- Western University, London, Ont
| | | | - N Coburn
- University of Toronto, Toronto, Ont
| | - J Callum
- Queen's University, Kingston, Ont
| | - R McLeod
- University of Toronto, Toronto, Ont
| | | | - Y Lin
- University of Toronto, Toronto, Ont
| | | | - G Martel
- University of Ottawa, Ottawa, Ont
| | - J Hallet
- University of Toronto, Toronto, Ont
| | - A Mahar
- University of Manitoba, Winnipeg, Man
| | - A Kammili
- From the McGill University Health Centre, Montreal, Que
| | | | - L Lee
- From the McGill University Health Centre, Montreal, Que
| | | | - L Ferri
- From the McGill University Health Centre, Montreal, Que
| | - C Mueller
- From the McGill University Health Centre, Montreal, Que
| | | | - B Haas
- University of Toronto, Toronto, Ont
| | | | | | | | - V Zuk
- Sunnybrook Research Institute, Toronto, Ont
| | - A Mahar
- University of Manitoba, Winnipeg, Man
| | - A Hsu
- University of Ottawa, Ottawa, Ont
| | | | - R Vasdev
- Sunnybrook Research Institute, Toronto, Ont
| | - N Coburn
- University of Toronto, Toronto, Ont
| | - J Hallet
- University of Toronto, Toronto, Ont
| | - K D'Souza
- From the University of British Columbia, Vancouver, B.C
| | - C Huynh
- From the University of British Columbia, Vancouver, B.C
| | | | - R Warburton
- From the University of British Columbia, Vancouver, B.C
| | - H Hwang
- From the University of British Columbia, Vancouver, B.C
| | - M Hameed
- From the University of British Columbia, Vancouver, B.C
| | - L Glass
- Western University, London, Ont
| | | | - P Murphy
- Medical College of Wisconsin, Milwaukee, Wis
| | - E Tang
- Western University, London, Ont
| | | | - J Hawel
- Western University, London, Ont
| | - L Kerr
- From the Northern Ontario School of Medicine, Thunder Bay, Ont
| | - S Zablotny
- From the Northern Ontario School of Medicine, Thunder Bay, Ont
| | - H Roldan
- From the Northern Ontario School of Medicine, Thunder Bay, Ont
| | - W He
- University of Manitoba, Winnipeg, Man
| | - X Jiang
- Memorial University of Newfoundland, St. John's, Nfld
| | - B Zheng
- University of Alberta, Edmonton, Alta
| | - L Lee
- From McGill University, Montreal, Que
| | - J Fiore
- From McGill University, Montreal, Que
| | - L Feldman
- From McGill University, Montreal, Que
| | - G Fried
- From McGill University, Montreal, Que
| | - C Mueller
- From McGill University, Montreal, Que
| | - S Valanci
- From McGill University, Montreal, Que
| | | | - J Cipolla
- From McGill University, Montreal, Que
| | - P Kaneva
- From McGill University, Montreal, Que
| | | | - M Boutros
- From McGill University, Montreal, Que
| | - L Lee
- From McGill University, Montreal, Que
| | - L Feldman
- From McGill University, Montreal, Que
| | - J Fiore
- From McGill University, Montreal, Que
| | | | | | - J Cipolla
- From McGill University, Montreal, Que
| | - L Lee
- From McGill University, Montreal, Que
| | - J Fiore
- From McGill University, Montreal, Que
| | - L Feldman
- From McGill University, Montreal, Que
| | - A Miles
- From the University of Alberta, Edmonton, Alta
| | - K Purich
- From the University of Alberta, Edmonton, Alta
| | - K Verhoeff
- From the University of Alberta, Edmonton, Alta
| | - J Shapiro
- From the University of Alberta, Edmonton, Alta
| | - D Bigam
- From the University of Alberta, Edmonton, Alta
| | - J Kung
- From the University of Alberta, Edmonton, Alta
| | - A Fecso
- From the University of Toronto, Toronto, Ont
| | - T Chesney
- From the University of Toronto, Toronto, Ont
| | - J Mosko
- From the University of Toronto, Toronto, Ont
| | - D Skubleny
- From the University of Alberta, Edmonton, Alta
| | - P Hamilton
- From the University of Alberta, Edmonton, Alta
| | - S Ghosh
- From the University of Alberta, Edmonton, Alta
| | - S Widder
- From the University of Alberta, Edmonton, Alta
| | - D Schiller
- From the University of Alberta, Edmonton, Alta
| | - U Do
- McGill University, Montreal, Que
| | | | - M Pook
- McGill University, Montreal, Que
| | - N Barone
- McGill University, Montreal, Que
| | | | | | | | | | - H Elhaj
- McGill University Health Centre, Montreal, Que
| | | | - G Olleik
- McGill University, Montreal, Que
| | - P Kaneva
- McGill University Health Centre, Montreal, Que
| | - A Antoun
- McGill University, Montreal, Que
| | - N Safa
- McGill University, Montreal, Que
| | | | | | | | - G Fried
- McGill University Health Centre, Montreal, Que
| | - M Alhashemi
- McGill University Health Centre, Montreal, Que
| | - F Lee
- McGill University Health Centre, Montreal, Que
| | - G Baldini
- McGill University Health Centre, Montreal, Que
| | - L Feldman
- McGill University Health Centre, Montreal, Que
| | - J Fiore
- McGill University Health Centre, Montreal, Que
| | | | - S Parpia
- McMaster University, Hamilton, Ont
| | - L Ruo
- McMaster University, Hamilton, Ont
| | | | - S Lee
- McMaster University, Hamilton, Ont
| | | | - N Faisal
- Royal College of Surgeons in Ireland, Dublin, Ireland
| | - A Alfayyadh
- Royal College of Surgeons in Ireland, Dublin, Ireland
| | | | | | | | - C Kruse
- McMaster University, Hamilton, Ont
| | | | - M Levin
- University of Toronto, Toronto, Ont
| | - K Aldrich
- Center for Medical Interoperability, Nashville, Tenn
| | - T Grantcharov
- Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Ont
| | - A Langerman
- Vanderbilt University Medical Center, Nashville, Tenn
| | - H Forbes
- From the University of Alberta, Edmonton, Alta
| | - R Anantha
- From the University of Alberta, Edmonton, Alta
| | - V Fawcett
- From the University of Alberta, Edmonton, Alta
| | | | - V Pravong
- University of Montreal, Montreal, Que
| | - M Gervais
- Maisonneuve-Rosemont Hospital, Montreal, Que
| | - G Rakovich
- Maisonneuve-Rosemont Hospital, Montreal, Que
| | - R Selvam
- From the University of Ottawa, Ottawa, Ont
| | - R Hu
- From the University of Ottawa, Ottawa, Ont
| | | | - I Raiche
- From the University of Ottawa, Ottawa, Ont
| | - H Moloo
- From the University of Ottawa, Ottawa, Ont
| | - R Liu
- Western University, London, Ont
| | - A Elnahas
- Western University, Canadian Surgical Technologies & Advanced Robotics, London Health Sciences Centre, London, Ont
| | - N Alkhamesi
- Western University, Canadian Surgical Technologies & Advanced Robotics, London Health Sciences Centre, London, Ont
| | - J Hawel
- Western University, Canadian Surgical Technologies & Advanced Robotics, London Health Sciences Centre, London, Ont
| | - E Tang
- Western University, Canadian Surgical Technologies & Advanced Robotics, London Health Sciences Centre, London, Ont
| | - A Alnumay
- Western University, Canadian Surgical Technologies & Advanced Robotics, London Health Sciences Centre, London, Ont
| | - C Schlachta
- Western University, Canadian Surgical Technologies & Advanced Robotics, London Health Sciences Centre, London, Ont
| | - E Walser
- From Western University, London, Ont
| | - C Zhang
- From Western University, London, Ont
| | | | - M Ott
- From Western University, London, Ont
| | - A Lee
- From the University of Ottawa, Ottawa, Ont
| | - B Niu
- From the University of Ottawa, Ottawa, Ont
| | - F Balaa
- From the University of Ottawa, Ottawa, Ont
| | - N Gawad
- From the University of Ottawa, Ottawa, Ont
| | - K Ren
- From McMaster University, Hamilton, Ont
| | - Y Qiu
- From McMaster University, Hamilton, Ont
| | - K Hamann
- From McMaster University, Hamilton, Ont
| | - N How
- From McMaster University, Hamilton, Ont
| | | | | | - A Eqbal
- From McMaster University, Hamilton, Ont
| | | | | | | | - E Lee
- From McMaster University, Hamilton, Ont
| | - I Yang
- From McMaster University, Hamilton, Ont
| | - K Ren
- From McMaster University, Hamilton, Ont
| | - H Muaddi
- University of Toronto, Toronto, Ont
| | - T Stukel
- ICES, University of Toronto, Toronto, Ont
| | - C de Mestral
- St. Michael's Hospital, University of Toronto, Toronto, Ont
| | - A Nathens
- Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ont
| | - P Karanicolas
- Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ont
| | - J Frigault
- From the Centre hospitalier universitaire de Québec - Université Laval, Québec, Que
| | - S Lemieux
- From the Centre hospitalier universitaire de Québec - Université Laval, Québec, Que
| | - D Breton
- From the Centre hospitalier universitaire de Québec - Université Laval, Québec, Que
| | - P Bouchard
- From the Centre hospitalier universitaire de Québec - Université Laval, Québec, Que
| | - A Bouchard
- From the Centre hospitalier universitaire de Québec - Université Laval, Québec, Que
| | - R Grégoire
- From the Centre hospitalier universitaire de Québec - Université Laval, Québec, Que
| | - F Letarte
- From the Centre hospitalier universitaire de Québec - Université Laval, Québec, Que
| | - G Bouchard
- From the Centre hospitalier universitaire de Québec - Université Laval, Québec, Que
| | - S Drolet
- From the Centre hospitalier universitaire de Québec - Université Laval, Québec, Que
| | - J Frigault
- From the Centre hospitalier universitaire de Québec - Université Laval, Québec, Que
| | - S Avoine
- From the Centre hospitalier universitaire de Québec - Université Laval, Québec, Que
| | - S Drolet
- From the Centre hospitalier universitaire de Québec - Université Laval, Québec, Que
| | - F Letarte
- From the Centre hospitalier universitaire de Québec - Université Laval, Québec, Que
| | - A Bouchard
- From the Centre hospitalier universitaire de Québec - Université Laval, Québec, Que
| | - J Gagné
- From the Centre hospitalier universitaire de Québec - Université Laval, Québec, Que
| | - C Thibault
- From the Centre hospitalier universitaire de Québec - Université Laval, Québec, Que
| | - R Grégoire
- From the Centre hospitalier universitaire de Québec - Université Laval, Québec, Que
| | | | - M Gosselin
- From the Centre hospitalier universitaire de Québec - Université Laval, Québec, Que
| | - P Bouchard
- From the Centre hospitalier universitaire de Québec - Université Laval, Québec, Que
| | | | - T Stuleanu
- From the University of Ottawa, Ottawa, Ont
| | - A Jarrar
- From the University of Ottawa, Ottawa, Ont
| | | | | | - R Nenshi
- McMaster University, Hamilton, Ont
| | - A Jerath
- University of Toronto, Toronto, Ont
| | - D Gomez
- University of Toronto, Toronto, Ont
| | - K Singh
- University of Toronto, Toronto, Ont
| | - T Amir
- McMaster University, Hamilton, Ont
| | - E Liu
- McMaster University, Hamilton, Ont
| | | | - R Mao
- McMaster University, Hamilton, Ont
| | - L Lan
- McMaster University, Hamilton, Ont
| | - J Yan
- University of British Columbia, Vancouver, B.C
| | | | - A Mierzwa
- From the University of Alberta, Edmonton, Alta
| | - R Tin
- From the University of Alberta, Edmonton, Alta
| | - R Brisebois
- From the University of Alberta, Edmonton, Alta
| | - N Bradley
- From the University of Alberta, Edmonton, Alta
| | - R Wigen
- From Western University, London, Ont
| | - E Walser
- From Western University, London, Ont
| | | | | | - K Vogt
- From Western University, London, Ont
| | - R Hilsden
- From Western University, London, Ont
| | - N Parry
- From Western University, London, Ont
| | - L Allen
- From Western University, London, Ont
| | - K Leslie
- From Western University, London, Ont
| | - R Raskin
- From Dalhousie University, Halifax, N.S
| | - J Jones
- From Dalhousie University, Halifax, N.S
| | - K Neumann
- From Dalhousie University, Halifax, N.S
| | - C Dwyer
- University of Alberta, Edmonton, Alta
| | | | - N Bradley
- University of Alberta, Edmonton, Alta
| | | | - K Lobay
- University of Alberta, Edmonton, Alta
| | | | - E Chang
- University of Alberta, Edmonton, Alta
| | - S Widder
- University of Alberta, Edmonton, Alta
| | - R Anantha
- University of Alberta, Edmonton, Alta
| | - W Sun
- University of Alberta, Edmonton, Alta
| | - J Beck
- Royal Alexandra Hospital, Edmonton, Alta
| | - R Anantha
- University of Alberta, Edmonton, Alta
| | - R Liu
- From Western University, London, Ont
| | | | - S Jones
- From Western University, London, Ont
| | | | | | - M Ott
- From Western University, London, Ont
| | - E Schmitz
- From the University of Ottawa, Ottawa, Ont
| | - I Raiche
- From the University of Ottawa, Ottawa, Ont
| | - W Sun
- University of Alberta, Edmonton, Alta
| | | | - J Dang
- University of Alberta, Edmonton, Alta
| | - V Mocanu
- University of Alberta, Edmonton, Alta
| | - G Lutzak
- University of Alberta, Edmonton, Alta
| | | | - C Wong
- University of Alberta, Edmonton, Alta
| | - S Karmali
- University of Alberta, Edmonton, Alta
| | - E Schmitz
- From the University of Ottawa, Ottawa, Ont
| | - M Petrera
- From the University of Ottawa, Ottawa, Ont
| | - M Pickell
- From the University of Ottawa, Ottawa, Ont
| | - R Auer
- From the University of Ottawa, Ottawa, Ont
| | - N Patro
- From McMaster University, Hamilton, Ont
| | - B Li
- From McMaster University, Hamilton, Ont
| | - Y Lee
- From McMaster University, Hamilton, Ont
| | - H Wilson
- From the University of Alberta, Edmonton, Alta
| | - V Mocanu
- From the University of Alberta, Edmonton, Alta
| | - W Sun
- From the University of Alberta, Edmonton, Alta
| | - J Dang
- From the University of Alberta, Edmonton, Alta
| | - U Jogiat
- From the University of Alberta, Edmonton, Alta
| | - J Kung
- From the University of Alberta, Edmonton, Alta
| | - N Switzer
- From the University of Alberta, Edmonton, Alta
| | - S Karmali
- From the University of Alberta, Edmonton, Alta
| | - C Wong
- From the University of Alberta, Edmonton, Alta
| | - C Li
- University of Alberta, Edmonton, Alta
| | | | - A Cieply
- University of Alberta, Edmonton, Alta
| | - H Hawes
- University of British Columbia, Vancouver, B.C
| | - E Joos
- University of British Columbia, Vancouver, B.C
| | - A Saleh
- University of Alberta, Edmonton, Alta
| | - C Li
- University of Alberta, Edmonton, Alta
| | - A Saleh
- University of Alberta, Edmonton, Alta
| | - P Engels
- McMaster University, Hamilton, Ont
| | - J Drung
- From the University of Western Ontario, London, Ont
| | - L Allen
- From the University of Western Ontario, London, Ont
| | - K Leslie
- From the University of Western Ontario, London, Ont
| | - G Pang
- From Western University, London, Ont
| | - M Kwong
- From Western University, London, Ont
| | | | | | - J Hawel
- From Western University, London, Ont
| | - A Elnahas
- From Western University, London, Ont
| | | | | | - S Chadi
- University of Toronto, Toronto, Ont
| | | | - D Chang
- Harvard University, Cambridge, Mass
| | - M Hutter
- Harvard University, Cambridge, Mass
| | - R Spence
- Dalhousie University, Halifax, N.S
| | | | - M Boutros
- Jewish General Hospital, Montreal, Que
| | | | - N Morin
- Jewish General Hospital, Montreal, Que
| | - Y Longtin
- Jewish General Hospital, Montreal, Que
| | - S Liberman
- McGill University Health Centre, Montreal, Que
| | | | | | - M Poirier
- Hôpital Maisonneuve-Rosemont, Université de Montréal, Montreal, Que
| | | | - H Sebajang
- Centre hospitalier de l'Université de Montréal, Montreal, Que
| | - R Younan
- Centre hospitalier de l'Université de Montréal, Montreal, Que
| | - F Schwenter
- Centre hospitalier de l'Université de Montréal, Montreal, Que
| | - E De Broux
- Centre hospitalier de l'Université de Montreal, Montreal, Que
| | - K Larsen
- University of Toronto, Toronto, Ont
| | | | | | - J Nantais
- University of Manitoba, Winnipeg, Man
| | - D Gomez
- University of Toronto, Toronto, Ont
| | - L Lan
- McMaster University, Hamilton, Ont
| | - R Mao
- McMaster University, Hamilton, Ont
| | - J Kay
- McMaster University, Hamilton, Ont
| | - R Lohre
- University of British Columbia, Vancouver, B.C
| | - O Ayeni
- McMaster University, Hamilton, Ont
| | - D Goel
- University of British Columbia, Vancouver, B.C
| | - D de Sa
- McMaster University, Hamilton, Ont
| | - R He
- University of Alberta, Edmonton, Alta
| | - D Hylton
- McMaster University, Hamilton, Ont
| | - E Bedard
- University of Alberta, Edmonton, Alta
| | - S Johnson
- University of Alberta, Edmonton, Alta
| | - B Laing
- University of Alberta, Edmonton, Alta
| | - A Valji
- University of Alberta, Edmonton, Alta
| | | | - S Turner
- University of Alberta, Edmonton, Alta
| | | | | | | | | | | | | | | | - V Gupta
- University of Toronto, Toronto, Ont
| | - B Kidane
- University of Manitoba, Winnipeg, Man
| | | | | | | | | | - Y Patel
- McMaster University, Hamilton, Ont
| | | | - D Hylton
- McMaster University, Hamilton, Ont
| | - F Xie
- McMaster University, Hamilton, Ont
| | - A Seely
- University of Ottawa, Ottawa, Ont
| | - J Spicer
- McGill University, Montreal, Que
| | - B Kidane
- University of Manitoba, Winnipeg, Man
| | - S Turner
- University of Alberta, Edmonton, Alta
| | | | - W Hanna
- McMaster University, Hamilton, Ont
| | - U Jogiat
- From the University of Alberta, Edmonton, Alta
| | - W Sun
- From the University of Alberta, Edmonton, Alta
| | - J Dang
- From the University of Alberta, Edmonton, Alta
| | - V Mocanu
- From the University of Alberta, Edmonton, Alta
| | - J Kung
- From the University of Alberta, Edmonton, Alta
| | - S Karmali
- From the University of Alberta, Edmonton, Alta
| | - S Turner
- From the University of Alberta, Edmonton, Alta
| | - N Switzer
- From the University of Alberta, Edmonton, Alta
| | - Y Patel
- From McMaster University and St. Joseph's Healthcare Hamilton, Hamilton, Ont
| | - I Churchill
- From McMaster University and St. Joseph's Healthcare Hamilton, Hamilton, Ont
| | - K Sullivan
- From McMaster University and St. Joseph's Healthcare Hamilton, Hamilton, Ont
| | - M Beauchamp
- From McMaster University and St. Joseph's Healthcare Hamilton, Hamilton, Ont
| | - J Wald
- From McMaster University and St. Joseph's Healthcare Hamilton, Hamilton, Ont
| | - L Mbuagbaw
- From McMaster University and St. Joseph's Healthcare Hamilton, Hamilton, Ont
| | - J Agzarian
- From McMaster University and St. Joseph's Healthcare Hamilton, Hamilton, Ont
| | - Y Shargall
- From McMaster University and St. Joseph's Healthcare Hamilton, Hamilton, Ont
| | - C Finley
- From McMaster University and St. Joseph's Healthcare Hamilton, Hamilton, Ont
| | - C Fahim
- From McMaster University and St. Joseph's Healthcare Hamilton, Hamilton, Ont
| | - W Hanna
- From McMaster University and St. Joseph's Healthcare Hamilton, Hamilton, Ont
| | - M Abbas
- From McMaster University, Hamilton, Ont
| | - O Olaiya
- From McMaster University, Hamilton, Ont
| | - H Begum
- From McMaster University, Hamilton, Ont
| | | | - C Finley
- From McMaster University, Hamilton, Ont
| | - W Hanna
- From McMaster University, Hamilton, Ont
| | | | | | - A Ednie
- Western University, London, Ont
| | - D Palma
- Western University, London, Ont
| | | | | | | | - M Qiabi
- Western University, London, Ont
| | - R Nayak
- Western University, London, Ont
| | | | - A Louie
- Sunnybrook Health Sciences Centre
| | | | | | - J Laba
- Western University, London, Ont
| | | | - J Alaichi
- From McMaster University, Hamilton, Ont
| | - Y Patel
- From McMaster University, Hamilton, Ont
| | - W Hanna
- From McMaster University, Hamilton, Ont
| | - S Turner
- From the University of Alberta, Edmonton, Alta
| | - B Mador
- From the University of Alberta, Edmonton, Alta
| | - H Lai
- From the University of Alberta, Edmonton, Alta
| | - J White
- From the University of Alberta, Edmonton, Alta
| | - M Kim
- From the University of Alberta, Edmonton, Alta
| | | | - B Kidane
- University of Manitoba, Winnipeg, Man
| | - A Louie
- Sunnybrook Health Sciences Centre, Toronto, Ont
| | - V Zuk
- Sunnybrook Health Sciences Centre, Toronto, Ont
| | - G Darling
- Toronto General Hospital, Toronto, Ont
| | | | - T Chesney
- St. Michael's Hospital, Toronto, Ont
| | - N Coburn
- Sunnybrook Health Sciences Centre, Toronto, Ont
| | - J Hallet
- Sunnybrook Health Sciences Centre, Toronto, Ont
| | - Y Lee
- McMaster University, Hamilton, Ont
| | | | - M Lee
- University of Toronto, Toronto, Ont
| | - L Thiru
- McMaster University, Hamilton, Ont
| | | | - C Finley
- McMaster University, Hamilton, Ont
| | - W Hanna
- McMaster University, Hamilton, Ont
| | - O Levine
- McMaster University, Hamilton, Ont
| | | | | | - R Nayak
- Western University, London, Ont
| | - S Brogly
- Queen's University, Kingston, Ont
| | - W Li
- ICES Queen's, Kingston, Ont
| | | | | | - N Mistry
- From McMaster University, Hamilton, Ont
| | - A Gatti
- From McMaster University, Hamilton, Ont
| | | | - Y Patel
- From McMaster University, Hamilton, Ont
| | - W Hanna
- From McMaster University, Hamilton, Ont
| | - S Abdul
- University of Ottawa, Ottawa, Ont
| | - C Anestee
- Ottawa Hospital Research Institute, Ottawa, Ont
| | | | | | - A Seely
- University of Ottawa, Ottawa, Ont
| | | | - D Maziak
- University of Ottawa, Ottawa, Ont
| | - R Razzak
- University of Manitoba, Winnipeg, Man
| | - A Ashrafi
- University of British Columbia, Vancouver, B.C
| | | | | | - S Stone
- University of British Columbia, Vancouver, B.C
| | | | - T Bong
- Fraser Health Authority, B.C
| | - R Bond
- University of British Columbia, Vancouver, B.C
| | - A Hafizi
- Surrey Thoracic Surgery Group, Surrey, B.C
| | - M De Meo
- Research Institute of the McGill University Health Centre, Montreal, Que
| | - R Rayes
- Research Institute of the McGill University Health Centre, Montreal, Que
| | - S Milette
- Research Institute of the McGill University Health Centre, Montreal, Que
| | - M Vagai
- Research Institute of the McGill University Health Centre, Montreal, Que
| | - M Usatii
- Research Institute of the McGill University Health Centre, Montreal, Que
| | | | - B Giannias
- Research Institute of the McGill University Health Centre, Montreal, Que
| | - F Bourdeau
- Research Institute of the McGill University Health Centre, Montreal, Que
| | - V Sangwan
- Research Institute of the McGill University Health Centre, Montreal, Que
| | - N Bertos
- Research Institute of the McGill University Health Centre, Montreal, Que
| | - C Moraes
- McGill University, Montreal, Que
| | - S Huang
- McGill University, Montreal, Que
| | - D Quail
- McGill University, Montreal, Que
| | - L Walsh
- McGill University, Montreal, Que
| | - S Camilleri-Broet
- Research Institute of the McGill University Health Centre, Montreal, Que
| | - P Fiset
- Research Institute of the McGill University Health Centre, Montreal, Que
| | - J Cools-Lartigue
- Research Institute of the McGill University Health Centre, Montreal, Que
| | - L Ferri
- Research Institute of the McGill University Health Centre, Montreal, Que
| | - J Spicer
- Research Institute of the McGill University Health Centre, Montreal, Que
| | - A Kammili
- McGill University Health Centre, Montreal, Que
| | - E Bilgic
- McGill University Health Centre, Montreal, Que
| | | | | | - S Najmeh
- McGill University Health Centre, Montreal, Que
| | - C Mueller
- McGill University Health Centre, Montreal, Que
| | - L Esther
- From McMaster University, Hamilton, Ont
| | - H Begum
- From McMaster University, Hamilton, Ont
| | | | - W Hanna
- From McMaster University, Hamilton, Ont
| | - C Finley
- From McMaster University, Hamilton, Ont
| | | | - Y Lee
- McMaster University, Hamilton, Ont
| | - J Lu
- University of Toronto, Toronto, Ont
| | - R Malhan
- McMaster University, Hamilton, Ont
| | | | - C Finley
- McMaster University, Hamilton, Ont
| | - W Hanna
- McMaster University, Hamilton, Ont
| | | | - S Brophy
- From Dalhousie University, Halifax, N.S
| | - K Brennan
- From Dalhousie University, Halifax, N.S
| | - D French
- From Dalhousie University, Halifax, N.S
| | - V Resende
- Ottawa Hospital Research Institute, Ottawa, Ont
| | | | - O Solaja
- The Ottawa Hospital, Ottawa, Ont
| | | | - D Maziak
- The Ottawa Hospital, Ottawa, Ont
| | - A Seely
- The Ottawa Hospital, Ottawa, Ont
| | | | | | - D Sisson
- From the University of Toronto, Toronto, Ont
| | - L Donahoe
- From the University of Toronto, Toronto, Ont
| | - P Bedard
- From the University of Toronto, Toronto, Ont
| | - A Hansen
- From the University of Toronto, Toronto, Ont
| | - M De Perrot
- From the University of Toronto, Toronto, Ont
| | | | - A Simone
- University of Ottawa, Ottawa, Ont
| | - H Begum
- McMaster University, Hamilton, Ont
| | - W Hanna
- McMaster University, Hamilton, Ont
| | | | - S Turner
- University of Alberta, Edmonton, Alta
| | - J Huang
- Memorial Sloan Kettering Cancer Center, New York, N.Y
| | - H Lai
- University of Alberta, Edmonton, Alta
| | - E Bedard
- University of Alberta, Edmonton, Alta
| | | | - S Murthy
- Cleveland Clinic, Cleveland, Ohio
| | - J Lin
- University of Michigan, Ann Arbor, Mich
| | | | | | - B Kidane
- University of Manitoba, Winnipeg, Man
| | - A Seely
- University of Ottawa, Ottawa, Ont
| | - H Li
- Beijing Chao-yang Hospital, Capital Medical University, Beijing, China
| | | | | | - E Lau
- McMaster University, Hamilton, Ont
| | | | - W Hanna
- McMaster University, Hamilton, Ont
| | - C Finley
- McMaster University, Hamilton, Ont
| | | | | | | | - V Gupta
- University of Toronto, Toronto, Ont
| | | | - L Davis
- McGill University, Montreal, Que
| | | | - B Kidane
- University of Toronto, Toronto, Ont
| | - G Darling
- University Health Network, Toronto, Ont
| | - N Coburn
- Sunnybrook Health Sciences Centre, Toronto, Ont
| | - C Huynh
- From McGill University, Montreal, Que
| | | | - L Ferri
- From McGill University, Montreal, Que
| | - S Najmeh
- From McGill University, Montreal, Que
| | - C Sirois
- From McGill University, Montreal, Que
| | - D Mulder
- From McGill University, Montreal, Que
| | - J Spicer
- From McGill University, Montreal, Que
| | | | | | - D Nguyen
- From the University of Ottawa, Ottawa, Ont
| | - C Anstee
- From the University of Ottawa, Ottawa, Ont
| | - E Delic
- From the University of Ottawa, Ottawa, Ont
| | - S Gilbert
- From the University of Ottawa, Ottawa, Ont
| | - D Maziak
- From the University of Ottawa, Ottawa, Ont
| | | | - A Seely
- From the University of Ottawa, Ottawa, Ont
| | - D Sisson
- University of Toronto, Toronto, Ont
| | | | | | - D Low
- Virginia Mason Medical Center, Seattle, Wash
| | | | - S Turner
- University of Alberta, Edmonton, Alta
| | - M Humer
- From the University of British Columbia, Kelowna, B.C
| | - S Abdul
- University of Ottawa, Ottawa, Ont
| | - D Nguyen
- University of Ottawa, Ottawa, Ont
| | - A Al Rawahi
- Department of Surgery, University of Ottawa, Ottawa, Ont
| | - C Anstee
- Ottawa Hospital Research Institute, Ottawa, Ont
| | - E Delic
- Ottawa Hospital Research Institute, Ottawa, Ont
| | | | | | - D Maziak
- University of Ottawa, Ottawa, Ont
| | - A Seely
- University of Ottawa, Ottawa, Ont
| | | | | | | | - C Anstee
- Ottawa Hospital Research Institute, Ottawa, Ont
| | - E Delic
- Ottawa Hospital Research Institute, Ottawa, Ont
| | | | | | - D Maziak
- University of Ottawa, Ottawa, Ont
| | - A Seely
- University of Ottawa, Ottawa, Ont
| | - Y Patel
- From McMaster University and St. Joseph's Healthcare Hamilton, Hamilton, Ont
| | - M Kay
- From McMaster University and St. Joseph's Healthcare Hamilton, Hamilton, Ont
| | - I Churchill
- From McMaster University and St. Joseph's Healthcare Hamilton, Hamilton, Ont
| | - K Sullivan
- From McMaster University and St. Joseph's Healthcare Hamilton, Hamilton, Ont
| | - Y Shargall
- From McMaster University and St. Joseph's Healthcare Hamilton, Hamilton, Ont
| | - B Shayegan
- From McMaster University and St. Joseph's Healthcare Hamilton, Hamilton, Ont
| | - A Adili
- From McMaster University and St. Joseph's Healthcare Hamilton, Hamilton, Ont
| | - W Hanna
- From McMaster University and St. Joseph's Healthcare Hamilton, Hamilton, Ont
| | | | - C Huynh
- From McGill University, Montreal, Que
| | | | | | - F Maleki
- From McGill University, Montreal, Que
| | - K Ovens
- From McGill University, Montreal, Que
| | - M Gold
- From McGill University, Montreal, Que
| | - M Sorin
- From McGill University, Montreal, Que
| | - R Falutz
- From McGill University, Montreal, Que
| | - R Rayes
- From McGill University, Montreal, Que
| | | | - J Spicer
- From McGill University, Montreal, Que
| | - N Hunka
- From the University of Saskatchewan, Saskatoon, Sask
| | - R Kennedy
- From the University of Saskatchewan, Saskatoon, Sask
| | - R Bigsby
- From the University of Saskatchewan, Saskatoon, Sask
| | - S Bharadwaj
- From the University of Saskatchewan, Saskatoon, Sask
| | - S Gowing
- From the University of Saskatchewan, Saskatoon, Sask
| | | | - A Gatti
- From McMaster University, Hamilton, Ont
| | - D Hylton
- From McMaster University, Hamilton, Ont
| | | | - Y Patel
- From McMaster University, Hamilton, Ont
| | | | | | - W Hanna
- From McMaster University, Hamilton, Ont
| | - C Finley
- From McMaster University, Hamilton, Ont
| | - H Begum
- From McMaster University, Hamilton, Ont
| | - K Pearce
- From McMaster University, Hamilton, Ont
| | | | - W Hanna
- From McMaster University, Hamilton, Ont
| | | | | | - D Jones
- From The Ottawa Hospital, Ottawa, Ont
| | - C Anstee
- From The Ottawa Hospital, Ottawa, Ont
| | - S Kumar
- From The Ottawa Hospital, Ottawa, Ont
| | | | - A Simone
- From The Ottawa Hospital, Ottawa, Ont
| | | | - K Thavorn
- From The Ottawa Hospital, Ottawa, Ont
| | - A Seely
- From The Ottawa Hospital, Ottawa, Ont
| | - V Gupta
- From the University of Toronto, Toronto, Ont
| | | | - A Mohammed
- From the University of Toronto, Toronto, Ont
| | - S Uddin
- From the University of Toronto, Toronto, Ont
| | - D Jones
- From the University of Toronto, Toronto, Ont
| | - A Behzadi
- From the University of Toronto, Toronto, Ont
| | - A Brar
- From the University of Toronto, Toronto, Ont
| | - L Qu
- From Western University, London, Ont
| | - M Qiabi
- From Western University, London, Ont
| | - R Nayak
- From Western University, London, Ont
| | | | - E Peters
- From the University of Manitoba, Winnipeg, Man
| | - G Buduhan
- From the University of Manitoba, Winnipeg, Man
| | - L Tan
- From the University of Manitoba, Winnipeg, Man
| | - R Liu
- From the University of Manitoba, Winnipeg, Man
| | - S Srinathan
- From the University of Manitoba, Winnipeg, Man
| | - B Kidane
- From the University of Manitoba, Winnipeg, Man
| | - V Gupta
- University of Toronto, Toronto, Ont
| | - J Levy
- University of Toronto, Toronto, Ont
| | - B Kidane
- University of Manitoba, Winnipeg, Man
| | - A Mahar
- University of Manitoba, Winnipeg, Man
| | | | | | | | - N Coburn
- University of Toronto, Toronto, Ont
| | - M Robinson
- From the University of Manitoba, Winnipeg, Man
| | - L Bednarek
- From the University of Manitoba, Winnipeg, Man
| | - G Buduhan
- From the University of Manitoba, Winnipeg, Man
| | - R Liu
- From the University of Manitoba, Winnipeg, Man
| | - L Tan
- From the University of Manitoba, Winnipeg, Man
| | - S Srinathan
- From the University of Manitoba, Winnipeg, Man
| | - B Kidane
- From the University of Manitoba, Winnipeg, Man
| | - H Wang
- From Dalhousie University, Halifax, N.S
| | - D French
- From Dalhousie University, Halifax, N.S
| | | | - K Graham
- From the University of Manitoba, Winnipeg, Man
| | - S Enns
- From the University of Manitoba, Winnipeg, Man
| | - G Buduhan
- From the University of Manitoba, Winnipeg, Man
| | - S Srinathan
- From the University of Manitoba, Winnipeg, Man
| | - R Liu
- From the University of Manitoba, Winnipeg, Man
| | - A Tan
- From the University of Manitoba, Winnipeg, Man
| | - B Kidane
- From the University of Manitoba, Winnipeg, Man
| | | | - E Poole
- University of Manitoba, Winnipeg, Man
| | - C Pascoe
- Children's Hospital Research Institute of Manitoba, Winnipeg, Man
| | - T Karakach
- Children's Hospital Research Institute of Manitoba, Winnipeg, Man
| | - G Buduhan
- University of Manitoba, Winnipeg, Man
| | - L Tan
- University of Manitoba, Winnipeg, Man
| | | | - A Halayko
- Children's Hospital Research Institute of Manitoba, Winnipeg, Man
| | - B Kidane
- University of Manitoba, Winnipeg, Man
| | - K Verhoeff
- From the University of Alberta, Edmonton, Alta
| | - V Mocanu
- From the University of Alberta, Edmonton, Alta
| | - B Fang
- From the University of Alberta, Edmonton, Alta
| | - J Dang
- From the University of Alberta, Edmonton, Alta
| | - J Kung
- From the University of Alberta, Edmonton, Alta
| | - N Switzer
- From the University of Alberta, Edmonton, Alta
| | - D Birch
- From the University of Alberta, Edmonton, Alta
| | - S Karmali
- From the University of Alberta, Edmonton, Alta
| | - G Johnson
- From the University of Manitoba, Winnipeg, Man
| | - H Singh
- From the University of Manitoba, Winnipeg, Man
| | - A Vergis
- From the University of Manitoba, Winnipeg, Man
| | - J Park
- From the University of Manitoba, Winnipeg, Man
| | - O Hershorn
- From the University of Manitoba, Winnipeg, Man
| | - D Hochman
- From the University of Manitoba, Winnipeg, Man
| | - R Helewa
- From the University of Manitoba, Winnipeg, Man
| | - G Johnson
- From the University of Manitoba, Winnipeg, Man
| | - R Robertson
- From the University of Manitoba, Winnipeg, Man
| | - A Vergis
- From the University of Manitoba, Winnipeg, Man
| | - G Johnson
- From the University of Manitoba, Winnipeg, Man
| | - A Vergis
- From the University of Manitoba, Winnipeg, Man
| | - H Singh
- From the University of Manitoba, Winnipeg, Man
| | - J Park
- From the University of Manitoba, Winnipeg, Man
| | - R Helewa
- From the University of Manitoba, Winnipeg, Man
| | - A Azin
- From the University of Toronto, Toronto, Ont
| | - C Cahill
- University of Calgary, Calgary, Alta
| | - M Lipson
- University of Calgary, Calgary, Alta
| | - A Afzal
- University of Calgary, Calgary, Alta
| | - A Maclean
- University of Calgary, Calgary, Alta
| | - C Wong
- University of Alberta, Edmonton, Alta
| | - S Roen
- University of Calgary, Calgary, Alta
| | - W Buie
- University of Calgary, Calgary, Alta
| | | | | | - M Chu
- From McMaster University, Hamilton, Ont
| | - Y Lee
- From McMaster University, Hamilton, Ont
| | - N Amin
- From McMaster University, Hamilton, Ont
| | - D Hong
- From McMaster University, Hamilton, Ont
| | | | | | - K Ramji
- McMaster University, Hamilton, Ont
| | - C Kruse
- McMaster University, Hamilton, Ont
| | - H Jaffer
- University of Toronto, Toronto, Ont
| | | | - N Amin
- McMaster University, Hamilton, Ont
| | | | - D Hong
- McMaster University, Hamilton, Ont
| | | | - R Hajjar
- Centre de recherche du Centre hospitalier de l'Université de Montréal, Montreal, Que
| | - M Oliero
- Centre de recherche du Centre hospitalier de l'Université de Montréal, Montreal, Que
| | - T Cuisiniere
- Centre de recherche du Centre hospitalier de l'Université de Montréal, Montreal, Que
| | - G Fragoso
- Centre de recherche du Centre hospitalier de l'Université de Montréal, Montreal, Que
| | - A Calvé
- Centre de recherche du Centre hospitalier de l'Université de Montréal, Montreal, Que
| | - S Djediai
- Université du Québec à Montréal, Montreal, Que
| | - B Annabi
- Université du Québec à Montréal, Montreal, Que
| | - C Richard
- Centre hospitalier de l'Université de Montréal, Montreal, Que
| | - M Santos
- Centre de recherche du Centre hospitalier de l'Université de Montréal, Montreal, Que
| | - K Purich
- From the University of Alberta, Edmonton, Alta
| | - Y Zhou
- From the University of Alberta, Edmonton, Alta
| | - S Dodd
- From the University of Alberta, Edmonton, Alta
| | - B Ring
- From the University of Alberta, Edmonton, Alta
| | - Y Yuan
- From the University of Alberta, Edmonton, Alta
| | - J White
- From the University of Alberta, Edmonton, Alta
| | | | | | | | - N Morin
- Jewish General Hospital, Montreal, Que
| | | | - J Faria
- Jewish General Hospital, Montreal, Que
| | | | | | - M Boutros
- Jewish General Hospital, Montreal, Que
| | | | - E Salama
- Jewish General Hospital, Montreal, Que
| | | | - N Morin
- Jewish General Hospital, Montreal, Que
| | | | - J Faria
- Jewish General Hospital, Montreal, Que
| | | | - M Boutros
- Jewish General Hospital, Montreal, Que
| | - G Talwar
- McMaster University, Hamilton, Ont
| | - R Daniel
- University of Toronto, Toronto, Ont
| | | | - O Levine
- McMaster University, Hamilton, Ont
| | | | | | | | | | | | | | - N Morin
- From McGill University, Montreal, Que
| | - M Boutros
- From McGill University, Montreal, Que
| | | | - A Chen
- McMaster University, Hamilton, Ont
| | - A Patel
- Western University, London, Ont
| | - Y Lee
- McMaster University, Hamilton, Ont
| | | | - D Hong
- McMaster University, Hamilton, Ont
| | | | | | | | | | - J Moon
- Jewish General Hospital, Montreal, Que
| | - M Demian
- Jewish General Hospital, Montreal, Que
| | | | - N Morin
- Jewish General Hospital, Montreal, Que
| | - M Boutros
- Jewish General Hospital, Montreal, Que
| | - R Selvam
- University of Ottawa, Ottawa, Ont
| | - H Moloo
- University of Ottawa, Ottawa, Ont
| | - H MacRae
- University of Toronto, Toronto, Ont
| | - F Alam
- University of Toronto, Toronto, Ont
| | - I Raiche
- University of Ottawa, Ottawa, Ont
| | - J Holland
- From McGill University, Montreal, Que
| | - M Cwintal
- From McGill University, Montreal, Que
| | - G Rigas
- From McGill University, Montreal, Que
| | | | - N Morin
- From McGill University, Montreal, Que
| | | | - J Faria
- From McGill University, Montreal, Que
| | - A Pang
- From McGill University, Montreal, Que
| | - M Boutros
- From McGill University, Montreal, Que
| | - J Holland
- From McGill University, Montreal, Que
| | - J Moon
- From McGill University, Montreal, Que
| | | | - N Morin
- From McGill University, Montreal, Que
| | | | - A Pang
- From McGill University, Montreal, Que
| | | | - M Boutros
- From McGill University, Montreal, Que
| | - C Brown
- From St. Paul's Hospital, Vancouver, B.C
| | | | - M Raval
- From St. Paul's Hospital, Vancouver, B.C
| | - P Phang
- From St. Paul's Hospital, Vancouver, B.C
| | - A Ghuman
- From St. Paul's Hospital, Vancouver, B.C
| | - M Li
- University of Calgary, Calgary, Alta
| | - S Muncner
- University of Alberta, Edmonton, Alta
| | | | - M Dykstra
- University of Alberta, Edmonton, Alta
| | | | - H Wang
- University of Alberta, Edmonton, Alta
| | - O Monton
- McMaster University, Hamilton, Ont
| | - A Smith
- Western University, London, Ont
| | - J Moon
- McGill University, Montreal, Que
| | - M Demian
- McGill University, Montreal, Que
| | | | | | | | | | - O AlAamer
- From King Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia
| | - N AlSelaim
- From King Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia
| | - M AlMalki
- From King Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia
| | - A Al-Osail
- From King Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia
| | - R Ruxton
- From Southland Hospital, Invercargill, New Zealand
| | - P Manuel
- From Southland Hospital, Invercargill, New Zealand
| | - F Mohamed
- From Southland Hospital, Invercargill, New Zealand
| | | | - S Serahati
- University of Saskatchewan, Saskatoon, Saskatchewan
| | | | - C Brown
- Providence Health Care, Vancouver, B.C
| | - M Raval
- Providence Health Care, Vancouver, B.C
| | | | - A Ghuman
- Providence Health Care, Vancouver, B.C
| | - T Phang
- Providence Health Care, Vancouver, B.C
| | | | - J Moon
- McGill University, Montreal, Que
| | | | - S Chadi
- University Health Network, Toronto, Ont
| | - K Alavi
- University of Massachusetts, Amherst, Mass
| | - I Paquette
- University of Cincinnati, Cincinnati, Ohio
| | - T MacLean
- University of Calgary, Calgary, Alta
| | - S Wexner
- Cleveland Clinic Florida, Weston, Fla
| | | | - S Steele
- Cleveland Clinic, Cleveland, Ohio
| | - J Park
- University of Manitoba, Winnipeg, Man
| | - S Patel
- Queen's University, Kingston, Ont
| | | | - R Auer
- The Ottawa Hospital, Ottawa, Ont
| | - P Sylla
- Icahn School of Medicine at Mount Sinai, New York, N.Y
| | - N Morin
- McGill University, Montreal, Que
| | - A Ghuman
- McGill University, Montreal, Que
| | | | - Z Bayat
- From the University of Toronto, Toronto, Ont
| | - E Kennedy
- From the University of Toronto, Toronto, Ont
| | - C Victor
- From the University of Toronto, Toronto, Ont
| | | | - J Liang
- From McGill University, Montreal, Que
| | | | - A Pang
- From McGill University, Montreal, Que
| | | | - J Faria
- From McGill University, Montreal, Que
| | - N Morin
- From McGill University, Montreal, Que
| | - M Boutros
- From McGill University, Montreal, Que
| | | | - H Roy
- University of Saskatchewan, Saskatoon, Sask
| | - Z Baig
- University of Saskatchewan, Saskatoon, Sask
| | | | - M Raval
- University of British Columbia, Vancouver, B.C
| | - C Brown
- University of British Columbia, Vancouver, B.C
| | - T Phang
- University of British Columbia, Vancouver, B.C
| | - D Gill
- University of Saskatchewan, Saskatoon, Sask
| | - N Ginther
- University of Saskatchewan, Saskatoon, Sask
| | - J Moon
- From McGill University, Montreal, Que
| | | | - A Pang
- From McGill University, Montreal, Que
| | | | - J Faria
- From McGill University, Montreal, Que
| | - N Morin
- From McGill University, Montreal, Que
| | | | - M Boutros
- From McGill University, Montreal, Que
| | - J Moon
- From McGill University, Montreal, Que
| | - A Pang
- From McGill University, Montreal, Que
| | | | - J Faria
- From McGill University, Montreal, Que
| | - N Morin
- From McGill University, Montreal, Que
| | | | - M Boutros
- From McGill University, Montreal, Que
| | - E Salama
- From McGill University, Montreal, Que
| | | | | | | | - J Faria
- From McGill University, Montreal, Que
| | - N Morin
- From McGill University, Montreal, Que
| | - M Boutros
- From McGill University, Montreal, Que
| | - V Wiseman
- From Queen's University, Kingston, Ont
| | - L Zhang
- From Queen's University, Kingston, Ont
| | | | | | | | | | - S V Patel
- From Queen's University, Kingston, Ont
| | - Z Harra
- From McGill University, Montreal, Que
| | | | | | - N Morin
- From McGill University, Montreal, Que
| | - M Boutros
- From McGill University, Montreal, Que
| | - A Pang
- From McGill University, Montreal, Que
| | - M Hegagi
- From McGill University, Montreal, Que
| | | | - N Morin
- From McGill University, Montreal, Que
| | | | | | - M Boutros
- From McGill University, Montreal, Que
| | | | | | | | - A Pang
- From McGill University, Montreal, Que
| | | | - M Boutros
- From McGill University, Montreal, Que
| | | | - N Kasteel
- University of Calgary, Calgary, Alta
| | - G Kaur
- University of Calgary, Calgary, Alta
| | - S Bindra
- University of Calgary, Calgary, Alta
| | - A Malhotra
- Vardhman Mahavir Medical College, New Delhi, India
| | - C Graham
- University of Calgary, Calgary, Alta
| | - A MacLean
- University of Calgary, Calgary, Alta
| | - P Beck
- University of Calgary, Calgary, Alta
| | - H Jijon
- University of Calgary, Calgary, Alta
| | - J Ferraz
- University of Calgary, Calgary, Alta
| | - W Buie
- University of Calgary, Calgary, Alta
| | - R Szwimer
- From McGill University, Montreal, Que
| | - J Moon
- From McGill University, Montreal, Que
| | - M Demian
- From McGill University, Montreal, Que
| | - A Pang
- From McGill University, Montreal, Que
| | - N Morin
- From McGill University, Montreal, Que
| | | | | | - M Boutros
- From McGill University, Montreal, Que
| | - A Azin
- From the University of Toronto, Toronto, Ont
| | | | - W Kong
- Queen's Cancer Research Institute, Kingston, Ont
| | | | - T Hanna
- Queen's University, Kingston, Ont
| | - W Chung
- Queen's University, Kingston, Ont
| | - S Nanji
- Queen's University, Kingston, Ont
| | - S Patel
- Queen's University, Kingston, Ont
| | - C Booth
- Queen's University, Kingston, Ont
| | - V Li
- From McMaster University, Hamilton, Ont
| | - A Awan
- From McMaster University, Hamilton, Ont
| | - P Serrano
- From McMaster University, Hamilton, Ont
| | - M Jacobson
- From the University of Calgary, Calgary, Alta
| | - M Chanco
- From the University of Calgary, Calgary, Alta
| | - V Wen
- From the University of Calgary, Calgary, Alta
| | - N Singh
- From the University of Calgary, Calgary, Alta
| | - L Peiris
- From the University of Calgary, Calgary, Alta
| | - J Pasieka
- From the University of Calgary, Calgary, Alta
| | - P Ghatage
- From the University of Calgary, Calgary, Alta
| | - D Buie
- From the University of Calgary, Calgary, Alta
| | - T MacLean
- From the University of Calgary, Calgary, Alta
| | | | - L Mack
- From the University of Calgary, Calgary, Alta
| | - W Marini
- From the University of Toronto, Toronto, Ont
| | - W Zheng
- From the University of Toronto, Toronto, Ont
| | - C Swallow
- From the University of Toronto, Toronto, Ont
| | - M Reedijk
- From the University of Toronto, Toronto, Ont
| | | | - L Peiris
- From the University of Alberta, Edmonton, Alta
| | | | - L Delmar
- From the University of Alberta, Edmonton, Alta
| | - N Gagnon
- Université de Sherbrooke, Sherbrooke, Que
| | | | | | | | | | | | - S Mysuria
- From the University of British Columbia, Vancouver, B.C
| | - A Bazzarelli
- From the University of British Columbia, Vancouver, B.C
| | - J Pao
- From the University of British Columbia, Vancouver, B.C
| | - L Chen
- From the University of British Columbia, Vancouver, B.C
| | - M Zhang
- From the University of British Columbia, Vancouver, B.C
| | - E McKevitt
- From the University of British Columbia, Vancouver, B.C
| | - R Warburton
- From the University of British Columbia, Vancouver, B.C
| | - U Kuusk
- From the University of British Columbia, Vancouver, B.C
| | - N Van Laeken
- From the University of British Columbia, Vancouver, B.C
| | - E Bovill
- From the University of British Columbia, Vancouver, B.C
| | - K Isaac
- From the University of British Columbia, Vancouver, B.C
| | - C Dingee
- From the University of British Columbia, Vancouver, B.C
| | | | | | | | - L Barbera
- University of Calgary, Calgary, Alta
| | - Y Efegoma
- University of Calgary, Calgary, Alta
| | - D Howell
- Princess Margaret Research Institute, Toronto, Ont
| | | | | | - A Scheer
- St. Michael's Hospital, Toronto, Ont
| | - C Simmons
- University of British Columbia, Vancouver, B.C
| | | | | | - Y Xu
- University of Calgary, Calgary, Alta
| | | | - M Quan
- University of Calgary, Calgary, Alta
| | - A Alqaydi
- From Queen's University, Kingston, Ont
| | - J la
- From Queen's University, Kingston, Ont
| | | | - G Digby
- From Queen's University, Kingston, Ont
| | - V Pravong
- University of Montreal, Montreal, Que
| | | | - L Sidéris
- Maisonneuve-Rosemont Hospital, Montreal, Que
| | - P Dubé
- Maisonneuve-Rosemont Hospital, Montreal, Que
| | | | - S Fortin
- University of Montreal, Montreal, Que
| | - M Auclair
- University of Montreal, Montreal, Que
| | - B Trilling
- Maisonneuve-Rosemont Hospital, Montreal, Que
| | - J Tremblay
- Maisonneuve-Rosemont Hospital, Montreal, Que
| | - É Di Lena
- From McGill University, Montreal, Que
| | - B Hopkins
- From McGill University, Montreal, Que
| | - S Wong
- From McGill University, Montreal, Que
| | | | - É Di Lena
- From McGill University, Montreal, Que
| | - N Barone
- From McGill University, Montreal, Que
| | - B Hopkins
- From McGill University, Montreal, Que
| | - S Dumitra
- From McGill University, Montreal, Que
| | - P Kaneva
- From McGill University, Montreal, Que
| | - J Fiore
- From McGill University, Montreal, Que
| | | | - S Mysuria
- From the University of British Columbia, Vancouver, B.C
| | - E McKevitt
- From the University of British Columbia, Vancouver, B.C
| | - R Warburton
- From the University of British Columbia, Vancouver, B.C
| | - L Chen
- From the University of British Columbia, Vancouver, B.C
| | - A Bazzarelli
- From the University of British Columbia, Vancouver, B.C
| | - J Pao
- From the University of British Columbia, Vancouver, B.C
| | - E Bovill
- From the University of British Columbia, Vancouver, B.C
| | - M Zhang
- From the University of British Columbia, Vancouver, B.C
| | - U Kuusk
- From the University of British Columbia, Vancouver, B.C
| | - K Isaac
- From the University of British Columbia, Vancouver, B.C
| | - N Van Laeken
- From the University of British Columbia, Vancouver, B.C
| | - C Dingee
- From the University of British Columbia, Vancouver, B.C
| | - H Kapur
- From the University of British Columbia, Vancouver, B.C
| | - E McKevitt
- From the University of British Columbia, Vancouver, B.C
| | - R Warburton
- From the University of British Columbia, Vancouver, B.C
| | - J Pao
- From the University of British Columbia, Vancouver, B.C
| | - C Dingee
- From the University of British Columbia, Vancouver, B.C
| | - A Bazarelli
- From the University of British Columbia, Vancouver, B.C
| | - U Kuusk
- From the University of British Columbia, Vancouver, B.C
| | - L Chen
- From the University of British Columbia, Vancouver, B.C
| | - L Cadili
- From the University of British Columbia, Vancouver, B.C
| | - K DeGirolamo
- From the University of British Columbia, Vancouver, B.C
| | - E McKevitt
- From the University of British Columbia, Vancouver, B.C
| | - J Pao
- From the University of British Columbia, Vancouver, B.C
| | - C Dingee
- From the University of British Columbia, Vancouver, B.C
| | - A Bazzarelli
- From the University of British Columbia, Vancouver, B.C
| | - R Warburton
- From the University of British Columbia, Vancouver, B.C
| | - D Ng
- From the University of Toronto, Toronto, Ont
| | - A Ali
- From the University of Toronto, Toronto, Ont
| | - D Eymae
- From the University of Toronto, Toronto, Ont
| | - K Lee
- From the University of Toronto, Toronto, Ont
| | - S Brar
- From the University of Toronto, Toronto, Ont
| | - J Conner
- From the University of Toronto, Toronto, Ont
| | - M Magalhaes
- From the University of Toronto, Toronto, Ont
| | - C Swallow
- From the University of Toronto, Toronto, Ont
| | - K Allen
- From the University of British Columbia, Vancouver, B.C
| | - C Baliski
- From the University of British Columbia, Vancouver, B.C
| | - D Cyr
- University of Toronto, Toronto, Ont
| | - A Sari
- Sinai Health System, Toronto, Ont
| | | | - D Driman
- London Health Sciences Centre, London, Ont
| | | | - A Juda
- Sinai Health System, Toronto, Ont
| | | | | | - M Brar
- University of Toronto, Toronto, Ont
| | - J Conner
- Sinai Health System, Toronto, Ont
| | - R Kirsch
- Sinai Health System, Toronto, Ont
| | | | - K Singh
- University of Toronto, Toronto, Ont
| | | | - Y Gamache
- ASDevices, Spira Innovations, Thetford, Que
| | | | - C Mardinger
- From the University of Calgary, Calgary, Alta
| | - C Lee
- From the University of Calgary, Calgary, Alta
| | - R Duckworth
- From the University of Calgary, Calgary, Alta
| | - M Brindle
- From the University of Calgary, Calgary, Alta
| | - F Fraulin
- From the University of Calgary, Calgary, Alta
| | - L Austen
- From the University of Calgary, Calgary, Alta
| | - J Kortbeek
- From the University of Calgary, Calgary, Alta
| | - M Hyndman
- From the University of Calgary, Calgary, Alta
| | - D Nguyen
- From McGill University, Montreal, Que
| | - G Jamjoum
- From McGill University, Montreal, Que
| | | | - S Langer
- University of Calgary, Calgary, Alta
| | - Y Yuan Xu
- University of Calgary, Calgary, Alta
| | - S Kong
- Alberta Health Services, Calgary, Alta
| | - M Quan
- University of Calgary, Calgary, Alta
| | - D Lim
- Women's College Hospital, Toronto, Ont
| | | | | | - K Butler
- University Health Network, Toronto, Ont
| | | | - T Cil
- University of Toronto, Toronto, Ont
| | - T Zhong
- University of Toronto, Toronto, Ont
| | - S Hofer
- University of Toronto, Toronto, Ont
| | | | | | - D Lim
- Women's College Hospital, Toronto, Ont
| | - B Greene
- University of Toronto, Toronto, Ont
| | | | - M Parapini
- University of British Columbia, Vancouver, B.C
| | - J Skipworth
- University Hospitals Bristol and Weston NHS Foundation Trust, Bristol, U.K
| | - A Mah
- University of British Columbia, Vancouver, B.C
| | - S Desai
- University of British Columbia, Vancouver, B.C
| | - S Chung
- University of British Columbia, Vancouver, B.C
| | - C Scudamore
- University of British Columbia, Vancouver, B.C
| | - M Segedi
- University of British Columbia, Vancouver, B.C
| | - E Vasilyeva
- University of British Columbia, Vancouver, B.C
| | - J Li
- University of British Columbia, Vancouver, B.C
| | - P Kim
- University of British Columbia, Vancouver, B.C
| | - K Verhoeff
- From the University of Alberta, Edmonton, Alta
| | - A Deprato
- From the University of Alberta, Edmonton, Alta
| | - K Purich
- From the University of Alberta, Edmonton, Alta
| | - J Kung
- From the University of Alberta, Edmonton, Alta
| | - D Bigam
- From the University of Alberta, Edmonton, Alta
| | - K Dajani
- From the University of Alberta, Edmonton, Alta
| | - T Lenet
- University of Ottawa, Ottawa, Ont
| | | | - R Smoot
- Mayo Clinic, Rochester, Minn
| | - G Martel
- The Ottawa Hospital, Ottawa, Ont
| | - C Tzeng
- MD Anderson Cancer Center, Houston, Tex
| | - F Rocha
- Oregon Health & Science University, Portland, Ore
| | | | | | | | | | | | | | - N Hanna
- Queen's University, Kingston, Ont
| | - S Brogly
- Queen's University, Kingston, Ont
| | | | - C Booth
- Queen's University, Kingston, Ont
| | - S Nanji
- Queen's University, Kingston, Ont
| | | | - N Coburn
- University of Toronto, Toronto, Ont
| | - A Mahar
- University of Manitoba, Winnipeg, Man
| | - J Callum
- Queen's University, Kingston, Ont
| | | | | | - A Wei
- Memorial Sloan Kettering Cancer Center, New York, N.Y
| | | | - J Hallet
- University of Toronto, Toronto, Ont
| | | | | | - A Wei
- Memorial Sloan Kettering Cancer Center, New York, N.Y
| | - A Mahar
- University of Manitoba, Winnipeg, Man
| | | | - G Martel
- University of Ottawa, Ottawa, Ont
| | - N Coburn
- University of Toronto, Toronto, Ont
| | - J Hallet
- University of Toronto, Toronto, Ont
| | - D Henault
- From the University of Montreal, Montreal, Que
| | - B Barrette
- From the University of Montreal, Montreal, Que
| | - S Pelletier
- From the University of Montreal, Montreal, Que
| | - P Thebault
- From the University of Montreal, Montreal, Que
| | | | - Z Rong
- From the University of Montreal, Montreal, Que
| | - M Plasse
- From the University of Montreal, Montreal, Que
| | | | | | - R Lapointe
- From the University of Montreal, Montreal, Que
| | | | - B Nguyen
- From the University of Montreal, Montreal, Que
| | - G Soucy
- From the University of Montreal, Montreal, Que
| | - S Turcotte
- From the University of Montreal, Montreal, Que
| | - M Lemke
- From Western University, London, Ont
| | - E Waugh
- From Western University, London, Ont
| | - K Leslie
- From Western University, London, Ont
| | - D Quan
- From Western University, London, Ont
| | - A Skaro
- From Western University, London, Ont
| | - E Tang
- From Western University, London, Ont
| | - M Lund
- From the University of Western Ontario, London, Ont
| | - L Allen
- From the University of Western Ontario, London, Ont
| | - J Glinka
- From the University of Western Ontario, London, Ont
| | - G Jada
- From the University of Western Ontario, London, Ont
| | - D Quan
- From the University of Western Ontario, London, Ont
| | - A Skaro
- From the University of Western Ontario, London, Ont
| | - E Tang
- From the University of Western Ontario, London, Ont
| | - L Park
- McMaster University, Hamilton, Ont
| | - J Daza
- University of Toronto, Toronto, Ont
| | - V Li
- McMaster University, Hamilton, Ont
| | | | - B Zhang
- McMaster University, Hamilton, Ont
| | | | - S Faisal
- Royal College of Surgeons in Ireland, Dublin, Ireland
| | - R Faisal
- Royal College of Surgeons in Ireland, Dublin, Ireland
| | - M Fabbro
- University of Toronto, Toronto, Ont
| | - C Gu
- McMaster University, Hamilton, Ont
| | | | - V Zuk
- University of Toronto, Toronto, Ont
| | - J Hallet
- University of Toronto, Toronto, Ont
| | - G Martel
- University of Ottawa, Ottawa, Ont
| | | | | | - J Glinka
- From the Western University, London, Ont
| | - A Skaro
- From the Western University, London, Ont
| | - K Leslie
- From the Western University, London, Ont
| | - G Jada
- From the Western University, London, Ont
| | - D Quan
- From the Western University, London, Ont
| | - E Tang
- From the Western University, London, Ont
| | - E Waugh
- From Western University, London, Ont
| | - M Lemke
- From Western University, London, Ont
| | - J Glinka
- From Western University, London, Ont
| | - A Skaro
- From Western University, London, Ont
| | - K Leslie
- From Western University, London, Ont
| | - E Tang
- From Western University, London, Ont
| | - E Waugh
- From Western University, London, Ont
| | | | - R Liu
- From Western University, London, Ont
| | - E Tang
- From Western University, London, Ont
| | - L Allen
- From Western University, London, Ont
| | - S Welch
- From Western University, London, Ont
| | - A Skaro
- From Western University, London, Ont
| | - K Leslie
- From Western University, London, Ont
| | - J Glinka
- From Western University, London, Ont
| | - E Waugh
- From Western University, London, Ont
| | - E Tang
- From Western University, London, Ont
| | - G Jada
- From Western University, London, Ont
| | - D Quan
- From Western University, London, Ont
| | - A Skaro
- From Western University, London, Ont
| | - A Webb
- From the University of Alberta, Edmonton, Alta
| | - E Lester
- From the University of Alberta, Edmonton, Alta
| | - A Shapiro
- From the University of Alberta, Edmonton, Alta
| | - D Eurich
- From the University of Alberta, Edmonton, Alta
| | - D Bigam
- From the University of Alberta, Edmonton, Alta
| | - Y Essaji
- From Virginia Mason Medical Center, Seattle, Wash
| | - H Shrader
- From the University of Iowa, Iowa City, Iowa
| | - A Nayyar
- From the University of Iowa, Iowa City, Iowa
| | - M Suraju
- From the University of Iowa, Iowa City, Iowa
| | | | - P Ear
- From the University of Iowa, Iowa City, Iowa
| | - C Chan
- From the University of Iowa, Iowa City, Iowa
| | - V Smith
- From Dalhousie University, Halifax, N.S
| | | | - A Costa
- From Dalhousie University, Halifax, N.S
| | - A Stueck
- From Dalhousie University, Halifax, N.S
| | | | - S Allen
- From Dalhousie University, Halifax, N.S
| | | | | | - T Lenet
- University of Ottawa, Ottawa, Ont
| | | | - R Smoot
- Mayo Clinic, Rochester, Minn
| | - C Tzeng
- MD Anderson Cancer Center, Houston, Tex
| | - F Rocha
- Oregon Health and Science University, Portland, Ore
| | - G Martel
- University of Ottawa, Ottawa, Ont
| | | | - Z Mir
- From Queen's University, Kingston, Ont
| | - H Golding
- From Queen's University, Kingston, Ont
| | - S McKeown
- From Queen's University, Kingston, Ont
| | - S Nanji
- From Queen's University, Kingston, Ont
| | | | - P Groome
- From Queen's University, Kingston, Ont
| | - Z Mir
- From Queen's University, Kingston, Ont
| | | | - S Nanji
- From Queen's University, Kingston, Ont
| | | | - P Groome
- From Queen's University, Kingston, Ont
| | - S Elbekri
- University of Sherbrooke, Sherbrooke, Que
| | - S Turcotte
- Centre hospitalier de l'Université de Montréal, Montreal, Que
| | - E Girard
- Centre hospitalier universitaire de Grenoble Alpes, Grenoble, France
| | | | - R Lapointe
- Centre hospitalier de l'Université de Montréal, Montreal, Que
| | | | - M Dagenais
- Centre hospitalier de l'Université de Montréal, Montreal, Que
| | - A Roy
- Centre hospitalier de l'Université de Montréal, Montreal, Que
| | - R Letourneau
- Centre hospitalier de l'Université de Montréal, Montreal, Que
| | - M Plasse
- Centre hospitalier de l'Université de Montréal, Montreal, Que
| | - E Simoneau
- Centre hospitalier de l'Université de Montréal, Montreal, Que
| | - Z Rong
- Centre hospitalier de l'Université de Montréal, Montreal, Que
| | - N Zuker
- From SUNY Upstate Medical University, Syracuse, N.Y
| | - M Oakley
- From SUNY Upstate Medical University, Syracuse, N.Y
| | - G Chartrand
- From the University of Montreal, Montreal, Que
| | - B Misheva
- From the University of Montreal, Montreal, Que
| | - Y Bendavid
- From the University of Montreal, Montreal, Que
| | - J Frigault
- From the Centre hospitalier universitaire de Québec - Université Laval, Québec, Que
| | - S Lemieux
- From the Centre hospitalier universitaire de Québec - Université Laval, Québec, Que
| | - D Breton
- From the Centre hospitalier universitaire de Québec - Université Laval, Québec, Que
| | - G Bouchard
- From the Centre hospitalier universitaire de Québec - Université Laval, Québec, Que
| | - S Drolet
- From the Centre hospitalier universitaire de Québec - Université Laval, Québec, Que
| | | | - L Smith
- North York General Hospital, North York, Ont
| | - J Tan
- Humber River Hospital, North York, Ont
| | - U Kahn
- University of Toronto, Toronto, Ont
| | - C McLean
- From the University of Alberta, Edmonton, Alta
| | - V Mocanu
- From the University of Alberta, Edmonton, Alta
| | - D Birch
- From the University of Alberta, Edmonton, Alta
| | - S Karmali
- From the University of Alberta, Edmonton, Alta
| | - N Switzer
- From the University of Alberta, Edmonton, Alta
| | - M Fortin
- Centre hospitalier affilié universitaire régional de Trois-Rivières, Trois-Rivières, Que
| | - X Paré
- Centre hospitalier affilié universitaire régional de Trois-Rivières, Trois-Rivières, Que
| | - A Doyon
- Centre hospitalier affilié universitaire régional de Trois-Rivières, Trois-Rivières, Que
| | | | | | - J Yadav
- University of Toronto, Toronto, Ont
| | - S Fischer
- University Health Network, Toronto, Ont
| | - T Jackson
- University Health Network, Toronto, Ont
| | - J Allard
- University Health Network, Toronto, Ont
| | | | - Y Lee
- McMaster University, Hamilton, Ont
| | - S Anvari
- McMaster University, Hamilton, Ont
| | - M Chu
- McMaster University, Hamilton, Ont
| | | | - I Aditya
- University of Toronto, Toronto, Ont
| | - R Malhan
- McMaster University, Hamilton, Ont
| | | | - M Walsh
- McMaster University, Hamilton, Ont
| | | | - D Hong
- McMaster University, Hamilton, Ont
| | - W He
- From the University of Manitoba, Winnipeg, Man
| | - A Vergis
- From the University of Manitoba, Winnipeg, Man
| | - K Hardy
- From the University of Manitoba, Winnipeg, Man
| | - R Romanescu
- From the University of Manitoba, Winnipeg, Man
| | - F Deaninck
- From the University of Manitoba, Winnipeg, Man
| | - J Linton
- From the University of Manitoba, Winnipeg, Man
| | | | | | - G Shingoose
- From the University of Manitoba, Winnipeg, Man
| | - A Vergis
- From the University of Manitoba, Winnipeg, Man
| | - K Hardy
- From the University of Manitoba, Winnipeg, Man
| | | | | | | | - Y Lee
- From McMaster University, Hamilton, Ont
| | - V Archer
- From McMaster University, Hamilton, Ont
| | | | - J Shiroky
- From McMaster University, Hamilton, Ont
| | | | - K Ramji
- From McMaster University, Hamilton, Ont
| | | | - A Mierzwa
- From the University of Alberta, Edmonton, Alta
| | - V Mocanu
- From the University of Alberta, Edmonton, Alta
| | - G Marcil
- From the University of Alberta, Edmonton, Alta
| | - J Dang
- From the University of Alberta, Edmonton, Alta
| | - N Switzer
- From the University of Alberta, Edmonton, Alta
| | - D Birch
- From the University of Alberta, Edmonton, Alta
| | - S Karmali
- From the University of Alberta, Edmonton, Alta
| | - A Mierzwa
- From the University of Alberta, Edmonton, Alta
| | - A Jarrar
- The Ottawa Hospital, Ottawa, Ont
| | | | | | - W Lin
- University of Toronto, Toronto, Ont
| | - J Hagen
- Humber River Hospital, North York, Ont
| | - M Connell
- From the University of Alberta, Edmonton, Alta
| | - W Sun
- From the University of Alberta, Edmonton, Alta
| | - J Dang
- From the University of Alberta, Edmonton, Alta
| | - V Mocanu
- From the University of Alberta, Edmonton, Alta
| | - J Kung
- From the University of Alberta, Edmonton, Alta
| | - N Switzer
- From the University of Alberta, Edmonton, Alta
| | - D Birch
- From the University of Alberta, Edmonton, Alta
| | - S Karmali
- From the University of Alberta, Edmonton, Alta
| |
Collapse
|
29
|
van Herwaarden YJ, Madani A, van der Post RS, Lemmens VEPP, Nagtegaal ID. Incidental diagnosis of serrated polyp in the appendix warrants colonoscopy to screen for colorectal neoplasia. Br J Surg 2021; 108:e373-e374. [PMID: 34508554 PMCID: PMC10364883 DOI: 10.1093/bjs/znab305] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2021] [Accepted: 07/24/2021] [Indexed: 11/14/2022]
Affiliation(s)
- Y J van Herwaarden
- Department of Gastroenterology and Hepatology, Radboud University Medical Centre, Nijmegen, the Netherlands.,Department of Gastroenterology and Hepatology, Rijnstate Hospital, Arnhem, the Netherlands
| | - A Madani
- Department of Public Health, Erasmus University Medical Centre, Rotterdam, the Netherlands.,Netherlands Comprehensive Cancer Organization, Eindhoven, the Netherlands
| | - R S van der Post
- Department of Pathology, Radboud University Medical Centre, Nijmegen, the Netherlands
| | - V E P P Lemmens
- Department of Public Health, Erasmus University Medical Centre, Rotterdam, the Netherlands.,Netherlands Comprehensive Cancer Organization, Eindhoven, the Netherlands
| | - I D Nagtegaal
- Department of Pathology, Radboud University Medical Centre, Nijmegen, the Netherlands.,Foundation PALGA (Nationwide Network and Registry of Histo- and Cytopathology in the Netherlands), Houten, the Netherlands
| |
Collapse
|
30
|
Chaker K, Ouanes Y, Madani A, Bibi M, Mrad Dali K, Sellami A, Ben Rhouma S, Nouira Y. Impact of the metabolic syndrome on the renal function after partial nephrectomy for non metastatic localized renal cell carcinoma. EUR UROL SUPPL 2021. [DOI: 10.1016/s2666-1683(21)03170-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022] Open
|
31
|
Bevilacqua LA, Siena NM, Gardner CA, Tatarian T, Madani A, Altieri MS. Gender disparities among leadership in academic surgical publishing over the past decade. Am J Surg 2021; 223:47-52. [PMID: 34332745 DOI: 10.1016/j.amjsurg.2021.07.038] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2021] [Revised: 07/19/2021] [Accepted: 07/20/2021] [Indexed: 11/17/2022]
Abstract
BACKGROUND Women account for 19 % of practicing surgeons in the United States, with representation decreasing with higher academic rank. Less is known about the proportion of women in editorial leadership positions at surgical journals. The objective of this study was to examine gender representation among editorial leadership at high-impact surgical journals. METHODS The five journals with the highest impact factors in general, cardiothoracic, plastics, otolaryngology, orthopedics, urology, vascular, and neurosurgery were identified. Data were abstracted on the proportion of women editors-in-chief (EIC) and editorial board members between 2010 and 2020 to determine how these demographics changed over time. RESULTS Multiple fields had no women EIC over the past decade (orthopedics, urology, cardiothoracic, neurosurgery). In all other fields, women were a minority of EIC. In 2020, women made up 7.9 % of EIC and 11.1 % of editorial boards in surgical journals. CONCLUSIONS Women remain under-represented among leadership at high-impact surgical journals, with varying improvement over the past decade among different subspecialties.
Collapse
Affiliation(s)
- Lisa A Bevilacqua
- Thomas Jefferson University Hospital, Dept. of Surgery, Philadelphia, PA, USA
| | - Nicholas M Siena
- Thomas Jefferson University Hospital, Dept. of Surgery, Philadelphia, PA, USA; University of California Los Angeles, Dept. of Surgery, Los Angeles, CA, USA
| | | | - Talar Tatarian
- Thomas Jefferson University Hospital, Dept. of Surgery, Philadelphia, PA, USA
| | - Amin Madani
- Division of General Surgery, University Health Network, Toronto, Ontario, Canada
| | - Maria S Altieri
- East Carolina University, Dept. of Surgery, Greeneville, NC, USA.
| |
Collapse
|
32
|
Ward TM, Mascagni P, Madani A, Padoy N, Perretta S, Hashimoto DA. Surgical data science and artificial intelligence for surgical education. J Surg Oncol 2021; 124:221-230. [PMID: 34245578 DOI: 10.1002/jso.26496] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2021] [Revised: 03/29/2021] [Accepted: 04/02/2021] [Indexed: 11/11/2022]
Abstract
Surgical data science (SDS) aims to improve the quality of interventional healthcare and its value through the capture, organization, analysis, and modeling of procedural data. As data capture has increased and artificial intelligence (AI) has advanced, SDS can help to unlock augmented and automated coaching, feedback, assessment, and decision support in surgery. We review major concepts in SDS and AI as applied to surgical education and surgical oncology.
Collapse
Affiliation(s)
- Thomas M Ward
- Department of Surgery, Surgical AI & Innovation Laboratory, Massachusetts General Hospital, Boston, Massachusetts
| | - Pietro Mascagni
- ICube, University of Strasbourg, CNRS, France.,Fondazione Policlinico A. Gemelli IRCCS, Rome, Italy.,IHU Strasbourg, Strasbourg, France
| | - Amin Madani
- Department of Surgery, University Health Network, Toronto, Canada
| | - Nicolas Padoy
- ICube, University of Strasbourg, CNRS, France.,IHU Strasbourg, Strasbourg, France
| | | | - Daniel A Hashimoto
- Department of Surgery, Surgical AI & Innovation Laboratory, Massachusetts General Hospital, Boston, Massachusetts
| |
Collapse
|
33
|
Affiliation(s)
- Amin Madani
- Department of Surgery, University Health Network, Toronto General Hospital, Toronto, Ontario, Canada
| | - Liane S Feldman
- Department of Surgery, McGill University, Montreal, Quebec, Canada
| |
Collapse
|
34
|
Meireles OR, Rosman G, Altieri MS, Carin L, Hager G, Madani A, Padoy N, Pugh CM, Sylla P, Ward TM, Hashimoto DA. SAGES consensus recommendations on an annotation framework for surgical video. Surg Endosc 2021; 35:4918-4929. [PMID: 34231065 DOI: 10.1007/s00464-021-08578-9] [Citation(s) in RCA: 30] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2021] [Accepted: 05/26/2021] [Indexed: 11/25/2022]
Abstract
BACKGROUND The growing interest in analysis of surgical video through machine learning has led to increased research efforts; however, common methods of annotating video data are lacking. There is a need to establish recommendations on the annotation of surgical video data to enable assessment of algorithms and multi-institutional collaboration. METHODS Four working groups were formed from a pool of participants that included clinicians, engineers, and data scientists. The working groups were focused on four themes: (1) temporal models, (2) actions and tasks, (3) tissue characteristics and general anatomy, and (4) software and data structure. A modified Delphi process was utilized to create a consensus survey based on suggested recommendations from each of the working groups. RESULTS After three Delphi rounds, consensus was reached on recommendations for annotation within each of these domains. A hierarchy for annotation of temporal events in surgery was established. CONCLUSIONS While additional work remains to achieve accepted standards for video annotation in surgery, the consensus recommendations on a general framework for annotation presented here lay the foundation for standardization. This type of framework is critical to enabling diverse datasets, performance benchmarks, and collaboration.
Collapse
Affiliation(s)
- Ozanan R Meireles
- Department of Surgery, Massachusetts General Hospital, 15 Parkman Street, WAC460, Boston, MA, 02114, USA.
| | - Guy Rosman
- Department of Surgery, Massachusetts General Hospital, 15 Parkman Street, WAC460, Boston, MA, 02114, USA
- Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, USA
| | - Maria S Altieri
- Department of Surgery, East Carolina University, Greenville, USA
| | - Lawrence Carin
- Department of Electrical and Computer Engineering, Duke University, Durham, USA
| | - Gregory Hager
- Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, USA
| | - Amin Madani
- Department of Surgery, University Health Network, Toronto, Canada
| | - Nicolas Padoy
- ICube, University of Strasbourg, Strasbourg, France
- IHU Strasbourg, Strasbourg, France
| | - Carla M Pugh
- Department of Surgery, Stanford University, Stanford, USA
| | - Patricia Sylla
- Department of Surgery, Mount Sinai Medical Center, New York, USA
| | - Thomas M Ward
- Department of Surgery, Massachusetts General Hospital, 15 Parkman Street, WAC460, Boston, MA, 02114, USA
| | - Daniel A Hashimoto
- Department of Surgery, Massachusetts General Hospital, 15 Parkman Street, WAC460, Boston, MA, 02114, USA.
| |
Collapse
|
35
|
Ramanantsoa N, Bourgeois T, Madani A, Sizun E, Ringot M, Delclaux C, Dauger S, d’Ortho M, Matrot B, Gallego J. Augmentation de la réponse ventilatoire au COD chez la souris mutante conditionnelle Phox2b27Ala/+ par une action pharmacologique. Rev Mal Respir 2021. [DOI: 10.1016/j.rmr.2021.02.052] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
|
36
|
Namazi B, Iyengar N, Hasan S, Balachandra S, Madani A, Hashimoto D, Alseidi AA, Fleshman JW, Sankaranarayanan G. AI for Automated Detection of the Establishment of Critical View of Safety in Laparoscopic Cholecystectomy Videos. J Am Coll Surg 2020. [DOI: 10.1016/j.jamcollsurg.2020.08.118] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
|
37
|
Altieri M, Hashimoto D, María Rivera A, Namazi B, Alseidi A, Okrainec A, Sankaranarayanan G, Brunt ML, Madani A. Using Artificial Intelligence to Identify Surgical Anatomy, Safe Zones of DISSection, and Dangerous Zones of DISSection during Laparoscopic Cholecystectomy. J Am Coll Surg 2020. [DOI: 10.1016/j.jamcollsurg.2020.08.054] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
|
38
|
Altieri MS, Yang J, Zhang X, Zhu C, Madani A, Castillo J, Talamini M, Pryor A. Evaluating readmissions following laparoscopic cholecystectomy in the state of New York. Surg Endosc 2020; 35:4667-4672. [PMID: 32875412 DOI: 10.1007/s00464-020-07906-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2020] [Accepted: 08/17/2020] [Indexed: 11/29/2022]
Abstract
INTRODUCTION Hospital readmissions constitute an important component of associated costs of a disease and can contribute a significant burden to healthcare. The majority of studies evaluating readmissions following laparoscopic cholecystectomy (LC) comprise of single center studies and thus can underestimate the actual incidence of readmission. We sought to examine the rate and causes of readmissions following LC using a large longitudinal database. METHODS The New York SPARCS database was used to identify all adult patients undergoing laparoscopic cholecystectomy for benign biliary disease between 2000 and 2016. Due to the presence of a unique identifier, patients with readmission to any New York hospital were evaluated. Planned versus unplanned readmission rates were compared. Following univariate analysis, multivariable logistic regression model was used to identify risk factors for unplanned readmissions after accounting for baseline characteristics, comorbidities and complications. RESULTS There were 591,627 patients who underwent LC during the studied time period. Overall 30-day readmission rate was 4.94% (n = 29,245) and unplanned 30-days readmission rate was 4.58% (n = 27,084). Female patients were less likely to have 30-day unplanned readmissions. Patients with age older than 65 or younger than 29 were more likely to have 30-day unplanned readmissions compared to patients with age 30-44 or 45-64. Insurance status was also significant, as patients with Medicaid/Medicare were more likely to have unplanned readmissions compared to commercial insurance. In addition, variables such as Black race, presence of any comorbidity, postoperative complication, and prolonged initial hospital length of stay were associated with subsequent readmission. CONCLUSION This data show that readmissions rates following LC are relatively low; however, majority of readmissions are unplanned. Most common reason for unplanned readmissions was associated with complications of the procedure or medical care. By identifying certain risk groups, unplanned readmissions may be prevented.
Collapse
Affiliation(s)
- Maria S Altieri
- Division of General and Bariatric Surgery, Department of Surgery, East Carolina University Brody School of Medicine, 600 Moye Boulevard, Greenville, NC, 27834, USA.
| | - Jie Yang
- Department of Family, Population and Preventive Medicine, Stony Brook University Medical Center, Stony Brook, NY, USA
| | - Xiaoyue Zhang
- Department of Applied Mathematics and Statistics, Stony Brook University, Stony Brook, NY, USA
| | - Chencan Zhu
- Department of Applied Mathematics and Statistics, Stony Brook University, Stony Brook, NY, USA
| | - Amin Madani
- Department of Surgery, University Health Network, Toronto, ON, Canada
| | - Jed Castillo
- Division of General and Bariatric Surgery, Department of Surgery, East Carolina University Brody School of Medicine, 600 Moye Boulevard, Greenville, NC, 27834, USA
| | - Mark Talamini
- Department of Surgery, Stony Brook University Medical Center, Stony Brook, NY, USA
| | - Aurora Pryor
- Department of Surgery, Stony Brook University Medical Center, Stony Brook, NY, USA
| |
Collapse
|
39
|
Altieri MS, Carmichael H, Jones E, Robinson T, Pryor A, Madani A. Educational value of telementoring for a simulation-based fundamental use of surgical energy™ (FUSE) curriculum: a randomized controlled trial in surgical trainees. Surg Endosc 2020; 34:3650-3655. [DOI: 10.1007/s00464-020-07609-1] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2020] [Accepted: 04/28/2020] [Indexed: 10/24/2022]
|
40
|
Rosenthal VD, Bat-Erdene I, Gupta D, Belkebir S, Rajhans P, Zand F, Myatra SN, Afeef M, Tanzi VL, Muralidharan S, Gurskis V, Al-Abdely HM, El-Kholy A, AlKhawaja SAA, Sen S, Mehta Y, Rai V, Hung NV, Sayed AF, Guerrero-Toapanta FM, Elahi N, Morfin-Otero MDR, Somabutr S, De-Carvalho BM, Magdarao MS, Velinova VA, Quesada-Mora AM, Anguseva T, Ikram A, Aguilar-de-Moros D, Duszynska W, Mejia N, Horhat FG, Belskiy V, Mioljevic V, Di-Silvestre G, Furova K, Gamar-Elanbya MO, Gupta U, Abidi K, Raka L, Guo X, Luque-Torres MT, Jayatilleke K, Ben-Jaballah N, Gikas A, Sandoval-Castillo HR, Trotter A, Valderrama-Beltrán SL, Leblebicioglu H, Riera F, López M, Maurizi D, Desse J, Pérez I, Silva G, Chaparro G, Golschmid D, Cabrera R, Montanini A, Bianchi A, Vimercati J, Rodríguez-del-Valle M, Domínguez C, Saul P, Chediack V, Piastrelini M, Cardena L, Ramasco L, Olivieri M, Gallardo P, Juarez P, Brito M, Botta P, Alvarez G, Benchetrit G, Caridi M, Stagnaro J, Bourlot I, García M, Arregui N, Saeed N, Abdul-Aziz S, ALSayegh S, Humood M, Mohamed-Ali K, Swar S, Magray T, Aguiar-Portela T, Sugette-de-Aguiar T, Serpa-Maia F, Fernandes-Alves-de-Lima L, Teixeira-Josino L, Sampaio-Bezerra M, Furtado-Maia R, Romário-Mendes A, Alves-De-Oliveira A, Vasconcelos-Carneiro A, Anjos-Lima JD, Pinto-Coelho K, Maciel-Canuto M, Rocha-Batista M, Moreira T, Rodrigues-Amarilo N, Lima-de-Barros T, Guimarães KA, Batista C, Santos C, de-Lima-Silva F, Santos-Mota E, Karla L, Ferreira-de-Souza M, Luzia N, de-Oliveira S, Takeda C, Azevedo-Ferreira-Lima D, Faheina J, Coelho-Oliveira L, do-Nascimento S, Machado-Silva V, Bento-Ferreira, Olszewski J, Tenorio M, Silva-Lemos A, Ramos-Feijó C, Cardoso D, Correa-Barbosa M, Assunção-Ponte G, Faheina J, da-Silva-Escudero D, Servolo-Medeiros E, Andrade-Oliveira-Reis M, Kostadinov E, Dicheva V, Petrov M, Guo C, Yu H, Liu T, Song G, Wang C, Cañas-Giraldo L, Marin-Tobar D, Trujillo-Ramirez E, Andrea-Rios P, Álvarez-Moreno C, Linares C, González-Rubio P, Ariza-Ayala B, Gamba-Moreno L, Gualtero-Trujill S, Segura-Sarmiento S, Rodriguez-Pena J, Ortega R, Olarte N, Pardo-Lopez Y, Luis Marino Otela-Baicue A, Vargas-Garcia A, Roncancio E, Gomez-Nieto K, Espinosa-Valencia M, Barahona-Guzman N, Avila-Acosta C, Raigoza-Martinez W, Villamil-Gomez W, Chapeta-Parada E, Mindiola-Rochel A, Corchuelo-Martinez A, Martinez A, Lagares-Guzman A, Rodriguez-Ferrer M, Yepes-Gomez D, Muñoz-Gutierrez G, Arguello-Ruiz A, Zuniga-Chavarria M, Maroto-Vargas L, Valverde-Hernández M, Solano-Chinchilla A, Calvo-Hernandez I, Chavarria-Ugalde O, Tolari G, Rojas-Fermin R, Diaz-Rodriguez C, Huascar S, Ortiz M, Bovera M, Alquinga N, Santacruz G, Jara E, Delgado V, Salgado-Yepez E, Valencia F, Pelaez C, Gonzalez-Flores H, Coello-Gordon E, Picoita F, Arboleda M, Garcia M, Velez J, Valle M, Unigarro L, Figueroa V, Marin K, Caballero-Narvaez H, Bayani V, Ahmed S, Alansary A, Hassan A, Abdel-Halim M, El-Fattah M, Abdelaziz-Yousef R, Hala A, Abdelhady K, Ahmed-Fouad H, Mounir-Agha H, Hamza H, Salah Z, Abdel-Aziz D, Ibrahim S, Helal A, AbdelMassih A, Mahmoud AR, Elawady B, El-sherif R, Fattah-Radwan Y, Abdel-Mawla T, Kamal-Elden N, Kartsonaki M, Rivera D, Mandal S, Mukherjee S, Navaneet P, Padmini B, Sorabjee J, Sakle A, Potdar M, Mane D, Sale H, Abdul-Gaffar M, Kazi M, Chabukswar S, Anju M, Gaikwad D, Harshe A, Blessymole S, Nair P, Khanna D, Chacko F, Rajalakshmi A, Mubarak A, Kharbanda M, Kumar S, Mathur P, Saranya S, Abubakar F, Sampat S, Raut V, Biswas S, Kelkar R, Divatia J, Chakravarthy M, Gokul B, Sukanya R, Pushparaj L, Thejasvini A, Rangaswamy S, Saini N, Bhattacharya C, Das S, Sanyal S, Chaudhury B, Rodrigues C, Khanna G, Dwivedy A, Binu S, Shetty S, Eappen J, Valsa T, Sriram A, Todi S, Bhattacharyya M, Bhakta A, Ramachandran B, Krupanandan R, Sahoo P, Mohanty N, Sahu S, Misra S, Ray B, Pattnaik S, Pillai H, Warrier A, Ranganathan L, Mani A, Rajagopal S, Abraham B, Venkatraman R, Ramakrishnan N, Devaprasad D, Siva K, Divekar D, Satish Kavathekar M, Suryawanshi M, Poojary A, Sheeba J, Patil P, Kukreja S, Varma K, Narayanan S, Sohanlal T, Agarwal A, Agarwal M, Nadimpalli G, Bhamare S, Thorat S, Sarda O, Nadimpalli P, Nirkhiwale S, Gehlot G, Bhattacharya S, Pandya N, Raphel A, Zala D, Mishra S, Patel M, Aggarwal D, Jawadwal B, Pawar N, Kardekar S, Manked A, Tamboli A, Manked A, Khety Z, Singhal T, Shah S, Kothari V, Naik R, Narain R, Sengupta S, Karmakar A, Mishra S, Pati B, Kantroo V, Kansal S, Modi N, Chawla R, Chawla A, Roy I, Mukherjee S, Bej M, Mukherjee P, Baidya S, Durell A, Vadi S, Saseedharan S, Anant P, Edwin J, Sen N, Sandhu K, Pandya N, Sharma S, Sengupta S, Palaniswamy V, Sharma P, Selvaraj M, Saurabh L, Agarwal M, Punia D, Soni D, Misra R, Harsvardhan R, Azim A, Kambam C, Garg A, Ekta S, Lakhe M, Sharma C, Singh G, Kaur A, Singhal S, Chhabra K, Ramakrishnan G, Kamboj H, Pillai S, Rani P, Singla D, Sanaei A, Maghsudi B, Sabetian G, Masjedi M, Shafiee E, Nikandish R, Paydar S, Khalili H, Moradi A, Sadeghi P, Bolandparvaz S, Mubarak S, Makhlouf M, Awwad M, Ayyad O, Shaweesh A, Khader M, Alghazawi A, Hussien N, Alruzzieh M, Mohamed Y, ALazhary M, Abdul Aziz O, Alazmi M, Mendoza J, De Vera P, Rillorta A, de Guzman M, Girvan M, Torres M, Alzahrani N, Alfaraj S, Gopal U, Manuel M, Alshehri R, Lessing L, Alzoman H, Abdrahiem J, Adballah H, Thankachan J, Gomaa H, Asad T, AL-Alawi M, Al-Abdullah N, Demaisip N, Laungayan-Cortez E, Cabato A, Gonzales J, Al Raey M, Al-Darani S, Aziz M, Al-Manea B, Samy E, AlDalaton M, Alaliany M, Alabdely H, Helali N, Sindayen G, Malificio A, Al-Dossari H, Kelany A, Algethami A, Mohamed D, Yanne L, Tan A, Babu S, Abduljabbar S, Al-Zaydani M, Ahmed H, Al Jarie A, Al-Qathani A, Al-Alkami H, AlDalaton M, Alih S, Alaliany M, Gasmin-Aromin R, Balon-Ubalde E, Diab H, Kader N, Hassan-Assiry I, Kelany A, Albeladi E, Aboushoushah S, Qushmaq N, Fernandez J, Hussain W, Rajavel R, Bukhari S, Rushdi H, Turkistani A, Mushtaq J, Bohlega E, Simon S, Damlig E, Elsherbini S, Abraham S, Kaid E, Al-Attas A, Hawsawi G, Hussein B, Esam B, Caminade Y, Santos A, Abdulwahab M, Aldossary A, Al-Suliman S, AlTalib A, Albaghly N, HaqlreMia M, Kaid E, Altowerqi R, Ghalilah K, Alradady M, Al-Qatri A, Chaouali M, Shyrine E, Philipose J, Raees M, AbdulKhalik N, Madco M, Acostan C, Safwat R, Halwani M, Abdul-Aal N, Thomas A, Abdulatif S, Ali-Karrar M, Al-Gosn N, Al-Hindi A, Jaha R, AlQahtani S, Ayugat E, Al-Hussain M, Aldossary A, Al-Suliman S, Al-Talib A, Albaghly N, Haqlre-Mia M, Briones S, Krishnan R, Tabassum K, Alharbi L, Madani A, Al-Hindi A, Al-Gethamy M, Alamri D, Spahija G, Gashi A, Kurian A, George S, Mohamed A, Ramapurath R, Varghese S, Abdo N, Foda-Salama M, Al-Mousa H, Omar A, Salama M, Toleb M, Khamis S, Kanj S, Zahreddine N, Kanafani Z, Kardas T, Ahmadieh R, Hammoud Z, Zeid I, Al-Souheil A, Ayash H, Mahfouz T, Kondratas T, Grinkeviciute D, Kevalas R, Dagys A, Mitrev Z, Bogoevska-Miteva Z, Jankovska K, Guroska S, Petrovska M, Popovska K, Ng C, Hoon Y, Hasan YM, Othman-Jailani M, Hadi-Jamaluddin M, Othman A, Zainol H, Wan-Yusoff W, Gan C, Lum L, Ling C, Aziz F, Zhazali R, Abud-Wahab M, Cheng T, Elghuwael I, Wan-Mat W, Abd-Rahman R, Perez-Gomez H, Kasten-Monges M, Esparza-Ahumada S, Rodriguez-Noriega E, Gonzalez-Diaz E, Mayoral-Pardo D, Cerero-Gudino A, Altuzar-Figueroa M, Perez-Cruz J, Escobar-Vazquez M, Aragon D, Coronado-Magana H, Mijangos-Mendez J, Corona-Jimenez F, Aguirre-Avalos G, Lopez-Mateos A, Martinez-Marroquin M, Montell-Garcia M, Martinez-Martinez A, Leon-Sanchez E, Gomez-Flores G, Ramirez M, Gomez M, Lozano M, Mercado V, Zamudio-Lugo I, Gomez-Gonzalez C, Miranda-Novales M, Villegas-Mota I, Reyes-Garcia C, Ramirez-Morales M, Sanchez-Rivas M, Cureno-Diaz M, Matias-Tellez B, Gonzalez-Martinez J, Juarez-Vargas R, Pastor-Salinas O, Gutierrez-Munoz V, Conde-Mercado J, Bruno-Carrasco G, Manrique M, Monroy-Colin V, Cruz-Rivera Z, Rodriguez-Pacheco J, Cruz N, Hernandez-Chena B, Guido-Ramirez O, Arteaga-Troncoso G, Guerra-Infante F, Lopez-Hurtado M, Caleco JD, Leyva-Medellin E, Salamanca-Meneses A, Cosio-Moran C, Ruiz-Rendon R, Aguilar-Angel L, Sanchez-Vargas M, Mares-Morales R, Fernandez-Alvarez L, Castillo-Cruz B, Gonzalez-Ma M, Zavala-Ramír M, Rivera-Reyna L, del-Moral-Rossete L, Lopez-Rubio C, Valadez-de-Alba M, Bat-Erdene A, Chuluunchimeg K, Baatar O, Batkhuu B, Ariyasuren Z, Bayasgalan G, Baigalmaa S, Uyanga T, Suvderdene P, Enkhtsetseg D, Suvd-Erdene D, Chimedtseye E, Bilguun G, Tuvshinbayar M, Dorj M, Khajidmaa T, Batjargal G, Naranpurev M, Bat-Erdene A, Bolormaa T, Battsetseg T, Batsuren C, Batsaikhan N, Tsolmon B, Saranbaatar A, Natsagnyam P, Nyamdawa O, Madani N, Abouqal R, Zeggwagh A, Berechid K, Dendane T, Koirala A, Giri R, Sainju S, Acharya S, Paul N, Parveen A, Raza A, Nizamuddin S, Sultan F, Imran X, Sajjad R, Khan M, Sana F, Tayyab N, Ahmed A, Zaman G, Khan I, Khurram F, Hussain A, Zahra F, Imtiaz A, Daud N, Sarwar M, Roop Z, Yusuf S, Hanif F, Shumaila X, Zeb J, Ali S, Demas S, Ariff S, Riaz A, Hussain A, Kanaan A, Jeetawi R, Castaño E, Moreno-Castillo L, García-Mayorca E, Prudencio-Leon W, Vivas-Pardo A, Changano-Rodriguez M, Castillo-Bravo L, Aibar-Yaranga K, Marquez-Mondalgo V, Mueras-Quevedo J, Meza-Borja C, Flor J, Fernandez-Camacho Y, Banda-Flores C, Pichilingue-Chagray J, Castaneda-Sabogal A, Caoili J, Mariano M, Maglente R, Santos S, de-Guzman G, Mendoza M, Javellana O, Tajanlangit A, Tapang A, Sg-Buenaflor M, Labro E, Carma R, Dy A, Fortin J, Navoa-Ng J, Cesar J, Bonifacio B, Llames M, Gata H, Tamayo A, Calupit H, Catcho V, Bergosa L, Abuy M, Barteczko-Grajek B, Rojek S, Szczesny A, Domanska M, Lipinska G, Jaroslaw J, Wieczoreka A, Szczykutowicza A, Gawor M, Piwoda M, Rydz-Lutrzykowska J, Grudzinska M, Kolat-Brodecka P, Smiechowicz K, Tamowicz B, Mikstacki A, Grams A, Sobczynski P, Nowicka M, Kretov V, Shalapuda V, Molkov A, Puzanov S, Utkin I, Tchekulaev A, Tulupova V, Vasiljevic S, Nikolic L, Ristic G, Eremija J, Kojovic J, Lekic D, Simic A, Hlinkova S, Lesnakova A, Kadankunnel S, Abdo-Ali M, Pimathai R, Wanitanukool S, Supa N, Prasan P, Luxsuwong M, Khuenkaew Y, Lamngamsupha J, Siriyakorn N, Prasanthai V, Apisarnthanarak A, Borgi A, Bouziri A, Cabadak H, Tuncer G, Bulut C, Hatipoglu C, Sebnem F, Demiroz A, Kaya A, Ersoz G, Kuyucu N, Karacorlu S, Oncul O, Gorenek L, Erdem H, Yildizdas D, Horoz O, Guclu E, Kaya G, Karabay O, Altindis M, Oztoprak N, Sahip Y, Uzun C, Erben N, Usluer G, Ozgunes I, Ozcelik M, Ceyda B, Oral M, Unal N, Cigdem Y, Bayar M, Bermede O, Saygili S, Yesiler I, Memikoglu O, Tekin R, Oncul A, Gunduz A, Ozdemir D, Geyik M, Erdogan S, Aygun C, Dilek A, Esen S, Turgut H, Sungurtekin H, Ugurcan D, Yarar V, Bilir Y, Bayram N, Devrim I, Agin H, Ceylan G, Yasar N, Oruc Y, Ramazanoglu A, Turhan O, Cengiz M, Yalcin A, Dursun O, Gunasan P, Kaya S, Senol G, Kocagoz A, Al-Rahma H, Annamma P, El-Houfi A, Vidal H, Perez F, D-Empaire G, Ruiz Y, Hernandez D, Aponte D, Salinas E, Vidal H, Navarrete N, Vargas R, Sanchez E, Ngo Quy C, Thu T, Nguyet L, Hang P, Hang T, Hanh T, Anh D. International Nosocomial Infection Control Consortium (INICC) report, data summary of 45 countries for 2012-2017: Device-associated module. Am J Infect Control 2020; 48:423-432. [PMID: 31676155 DOI: 10.1016/j.ajic.2019.08.023] [Citation(s) in RCA: 63] [Impact Index Per Article: 15.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2019] [Revised: 08/20/2019] [Accepted: 08/21/2019] [Indexed: 12/18/2022]
Abstract
BACKGROUND We report the results of International Nosocomial Infection Control Consortium (INICC) surveillance study from January 2012 to December 2017 in 523 intensive care units (ICUs) in 45 countries from Latin America, Europe, Eastern Mediterranean, Southeast Asia, and Western Pacific. METHODS During the 6-year study period, prospective data from 532,483 ICU patients hospitalized in 242 hospitals, for an aggregate of 2,197,304 patient days, were collected through the INICC Surveillance Online System (ISOS). The Centers for Disease Control and Prevention-National Healthcare Safety Network (CDC-NHSN) definitions for device-associated health care-associated infection (DA-HAI) were applied. RESULTS Although device use in INICC ICUs was similar to that reported from CDC-NHSN ICUs, DA-HAI rates were higher in the INICC ICUs: in the medical-surgical ICUs, the pooled central line-associated bloodstream infection rate was higher (5.05 vs 0.8 per 1,000 central line-days); the ventilator-associated pneumonia rate was also higher (14.1 vs 0.9 per 1,000 ventilator-days,), as well as the rate of catheter-associated urinary tract infection (5.1 vs 1.7 per 1,000 catheter-days). From blood cultures samples, frequencies of resistance, such as of Pseudomonas aeruginosa to piperacillin-tazobactam (33.0% vs 18.3%), were also higher. CONCLUSIONS Despite a significant trend toward the reduction in INICC ICUs, DA-HAI rates are still much higher compared with CDC-NHSN's ICUs representing the developed world. It is INICC's main goal to provide basic and cost-effective resources, through the INICC Surveillance Online System to tackle the burden of DA-HAIs effectively.
Collapse
|
41
|
Watanabe Y, Fuchshuber P, Homma T, Bilgic E, Madani A, Hiki N, Cammack I, Noji T, Kurashima Y, Shichinohe T, Hirano S. An Unmodulated Very-Low-Voltage Electrosurgical Technology Creates Predictable and Ultimate Tissue Coagulation: From Experimental Data to Clinical Use. Surg Innov 2020; 27:492-498. [PMID: 32186463 PMCID: PMC7816550 DOI: 10.1177/1553350620904610] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
Objective. We analyzed the underlying principles of an unmodulated very-low-voltage (VLV) mode, designated as “soft coagulation” in hemostasis, and demonstrate its clinical applications. Summary Background Data. While the advantage of the VLV mode has been reported across surgical specialties, the basic principle has not been well described and remains ambiguous. Methods. Characteristics of major electrosurgical modes were measured in different settings. For the VLV mode, the tissue effect and electrical parameters were assessed in simulated environments. Results. The VLV mode achieved tissue coagulation with the lowest voltage compared with the other modes in any settings. With increasing impedance, the voltage of the VLV mode stayed very low at under 200 V compared with other modes. The VLV mode constantly produced effective tissue coagulation without carbonization. We have demonstrated the clinical applications of the method. Conclusions. The voltage of the VLV mode consistently stays under 200 V, resulting in tissue coagulation with minimal vaporization or carbonization. Therefore, the VLV mode produces more predictable tissue coagulation and minimizes undesirable collateral thermal tissue effects, enabling nerve- and function-preserving surgery. The use of VLV mode through better understanding of minimally invasive way of using electrosurgery may lead to better surgical outcomes.
Collapse
Affiliation(s)
- Yusuke Watanabe
- Hokkaido University, Sapporo, Hokkaido, Japan.,Teine Keijinkai Hospital, Sapporo, Hokkaido, Japan
| | | | | | | | - Amin Madani
- University Health Network -Toronto General Hospital, Toronto, Ontario, Canada
| | | | - Ivor Cammack
- Teine Keijinkai Hospital, Sapporo, Hokkaido, Japan
| | | | | | | | | |
Collapse
|
42
|
Madani A, Grover K, Kuo JH, Mitmaker EJ, Shen W, Beninato T, Livhits M, Smith PW, Miller BS, Sippel RS, Duh QY, Lee JA. Defining the competencies for laparoscopic transabdominal adrenalectomy: An investigation of intraoperative behaviors and decisions of experts. Surgery 2020; 167:241-249. [DOI: 10.1016/j.surg.2019.03.035] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2019] [Revised: 03/12/2019] [Accepted: 03/16/2019] [Indexed: 10/25/2022]
|
43
|
Affiliation(s)
- Amin Madani
- Division of General Surgery, University Health Network, Toronto General Hospital, Toronto, Ontario, Canada
| | - Karan Grover
- Department of Surgery, Columbia University Medical Center, New York, New York
| | - Yusuke Watanabe
- Department of Gastroenterological Surgery II, Hokkaido University Graduate School of Medicine, Sapporo, Hokkaido, Japan
| |
Collapse
|
44
|
Affiliation(s)
- A Madani
- Department of Surgery, Columbia University Medical Center, New York, New York, 10032, USA.,University Health Network, Toronto General Hospital, Toronto, Ontario, Canada
| | - D S Keller
- Department of Surgery, Columbia University Medical Center, New York, New York, 10032, USA
| |
Collapse
|
45
|
Huynh C, Wong-Chong N, Vourtzoumis P, Lim S, Marini W, Johal G, Strickland M, Madani A. The future of general surgery training: A Canadian resident nationwide Delphi consensus statement. Surgery 2019; 166:726-734. [PMID: 31280867 DOI: 10.1016/j.surg.2019.04.025] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2019] [Revised: 03/12/2019] [Accepted: 04/24/2019] [Indexed: 11/25/2022]
Abstract
BACKGROUND Several models have been introduced to improve and restructure surgical training, but continued barriers exist. Residents are uniquely positioned to offer perspective on practical challenges and needs of reformatting surgical education. This study aimed to establish a nationwide, Delphi consensus statement on the perceptions of Canadian residents regarding the future of general surgery training. METHODS Canadian general surgery residents participated in a moderated focus group using the Nominal Group Technique to discuss early subspecialization, competency-based medical education, and transition to practice. Qualitative verbal data were transcribed, categorized into themes, and synthesized into recommendation statements. During an iterative Delphi survey, resident leaders ranked each statement on a 5-point Likert scale of agreement. The survey was terminated once consensus was achieved (≥2 survey rounds and Cronbach's α ≥ 0.80). RESULTS A total of 66 statements were synthesized by 16 members of the Canadian Association of General Surgeons Resident Committee. A total of 49 residents participated in the Delphi consensus, which was achieved after 2 voting rounds (Cronbach's α = 0.93). Participants agreed that (1) residency should focus on achieving standardized competencies and milestones based on resident ability to meet specific measurable metrics, (2) early streaming should be offered after "core" milestones and competencies have been achieved, and (3) an explicit period should allow transition-to-independent practice with tailored rotations, greater autonomy, and resident-run clinics. We identified 10 barriers to competency-based medical education implementation. CONCLUSION A nationwide consensus regarding the future of surgical training was established among current residents. These findings can inform and help implement guidelines and national curricula that meet the needs of the trainee and address the many challenges they face during their training.
Collapse
Affiliation(s)
- Caroline Huynh
- Department of Surgery, University of British Columbia, Vancouver, BC, Canada
| | | | | | - Stephanie Lim
- Department of Surgery, University of Manitoba, Winnipeg, MB, Canada
| | - Wanda Marini
- Department of Surgery, University of Toronto, Toronto, ON, Canada
| | - Gurp Johal
- Department of Surgery, University of British Columbia, Vancouver, BC, Canada
| | - Matt Strickland
- Department of Surgery, University of Manitoba, Winnipeg, MB, Canada; Department of Surgery, LAC+USC Medical Center, University of Southern California, Los Angeles, CA, USA
| | - Amin Madani
- Department of Surgery, Columbia University College of Physicians and Surgeons, New York City, NY, USA.
| | | |
Collapse
|
46
|
Abstract
Adrenalectomy can be performed open, endoscopically or robotically, utilizing a transabdominal or retroperitoneal approach. This chapter describes the relevant anatomy, various approaches and surgical techniques, pre-operative work-up and optimization, and post-operative management of patients undergoing an adrenalectomy.
Collapse
Affiliation(s)
- Amin Madani
- Department of Surgery, Columbia University Irving Medical Center, 161 Fort Washington Avenue, New York, NY 10032, USA
| | - James A Lee
- Endocrine Surgery, Columbia University Irving Medical Center, 161 Fort Washington Avenue, New York, NY 10032, USA.
| |
Collapse
|
47
|
Kuo JH, McManus C, Graves CE, Madani A, Khokhar MT, Huang B, Lee JA. In brief. Curr Probl Surg 2019. [DOI: 10.1067/j.cpsurg.2018.12.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
|
48
|
Kuo JH, McManus C, Graves CE, Madani A, Khokhar MT, Huang B, Lee JA. Updates in the management of thyroid nodules. Curr Probl Surg 2018; 56:103-127. [PMID: 30798796 DOI: 10.1067/j.cpsurg.2018.12.003] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2018] [Accepted: 12/18/2018] [Indexed: 12/17/2022]
Affiliation(s)
- Jennifer H Kuo
- Division of Endocrine Surgery, Columbia University, New York, NY.
| | | | - Claire E Graves
- Division of Endocrine Surgery, Columbia University, New York, NY
| | - Amin Madani
- Division of Endocrine Surgery, Columbia University, New York, NY
| | - Mamoona T Khokhar
- Division of Endocrine Surgery, Banner University Medical Center, Phoenix, AZ
| | - Bernice Huang
- Division of Endocrine Surgery, Columbia University, New York, NY
| | - James A Lee
- Division of Endocrine Surgery, Columbia University, New York, NY
| |
Collapse
|
49
|
Housou B, Cherkaoui S, Lamchahab M, Massi R, Khoubila N, Qachouh M, Rachid M, Madani A, Athale UH, Quessar A. Outcome of Acute Myeloid Leukemia in Children Adolescents and Young Adults Treated with an Uniform Protocol in Casablanca, Morocco. Indian J Hematol Blood Transfus 2018; 35:255-259. [PMID: 30988560 DOI: 10.1007/s12288-018-1013-2] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2018] [Accepted: 09/17/2018] [Indexed: 01/25/2023] Open
Abstract
Treatment of acute myeloblastic leukemia in children, adolescents and young adults (AYA) is a challenge in low-income countries. To evaluate treatment outcomes of children (≤ 15 years) and AYA (15-30 years) diagnosed with novo AML and treated in a single center according to the AML-MA 2011 protocol. From January 2011 to December 2015, eligible patients (age ≤ 30 years) with novo AML had been enrolled on a uniform treatment protocol. The diagnosis was confirmed according to the FAB classification using the WHO 2008 criteria. Patients with WBC ≥ 50 G/L had pretreated 4 days of hydroxyurea followed by two inductions and two consolidations. Supportive care consisted of transfusion of labile blood products, antibiotics and antifungals, and patient and family education by the hygiene team. 155 patients were recruited, 41 were < 15 years old (22 boys, median age 7.8 years). Of the 114 AYA enrolled, (48 women, median age 23 years). Complete remission after two inductions was 28/41 (68.3%) of the children, including 100% of the children in the favorable group and 71/114 (62.3%) of the AYA, 22 of whom (68.7%) were in the favorable group. The number of deaths among children was 6 (14.6%). The evaluation of the AML-MA-2011 National Protocol in the age groups of children and AYA reveals that the objective of treatment is almost achieved in terms of complete remission in the two age groups.
Collapse
Affiliation(s)
- B Housou
- 1Department of Hematology and Pediatric Oncology, Hospital 20 August, University Hassan II Casablanca, Casablanca, Morocco
- 3Clinical Hematology and Pediatric Oncology Department, Hospital 20 August, CHU Ibn Rochd, 20250 Casablanca, Morocco
| | - S Cherkaoui
- 1Department of Hematology and Pediatric Oncology, Hospital 20 August, University Hassan II Casablanca, Casablanca, Morocco
- 3Clinical Hematology and Pediatric Oncology Department, Hospital 20 August, CHU Ibn Rochd, 20250 Casablanca, Morocco
| | - M Lamchahab
- 1Department of Hematology and Pediatric Oncology, Hospital 20 August, University Hassan II Casablanca, Casablanca, Morocco
- 3Clinical Hematology and Pediatric Oncology Department, Hospital 20 August, CHU Ibn Rochd, 20250 Casablanca, Morocco
| | - R Massi
- 1Department of Hematology and Pediatric Oncology, Hospital 20 August, University Hassan II Casablanca, Casablanca, Morocco
- 3Clinical Hematology and Pediatric Oncology Department, Hospital 20 August, CHU Ibn Rochd, 20250 Casablanca, Morocco
| | - N Khoubila
- 1Department of Hematology and Pediatric Oncology, Hospital 20 August, University Hassan II Casablanca, Casablanca, Morocco
- 3Clinical Hematology and Pediatric Oncology Department, Hospital 20 August, CHU Ibn Rochd, 20250 Casablanca, Morocco
| | - M Qachouh
- 1Department of Hematology and Pediatric Oncology, Hospital 20 August, University Hassan II Casablanca, Casablanca, Morocco
- 3Clinical Hematology and Pediatric Oncology Department, Hospital 20 August, CHU Ibn Rochd, 20250 Casablanca, Morocco
| | - M Rachid
- 1Department of Hematology and Pediatric Oncology, Hospital 20 August, University Hassan II Casablanca, Casablanca, Morocco
- 3Clinical Hematology and Pediatric Oncology Department, Hospital 20 August, CHU Ibn Rochd, 20250 Casablanca, Morocco
| | - A Madani
- 1Department of Hematology and Pediatric Oncology, Hospital 20 August, University Hassan II Casablanca, Casablanca, Morocco
- 3Clinical Hematology and Pediatric Oncology Department, Hospital 20 August, CHU Ibn Rochd, 20250 Casablanca, Morocco
| | | | - A Quessar
- 1Department of Hematology and Pediatric Oncology, Hospital 20 August, University Hassan II Casablanca, Casablanca, Morocco
- 3Clinical Hematology and Pediatric Oncology Department, Hospital 20 August, CHU Ibn Rochd, 20250 Casablanca, Morocco
| |
Collapse
|
50
|
White J, Park J, Russell KB, Reynolds K, Madani A, Carlson LE, Giese-Davis J. Falling through the cracks. A thematic evaluation of unmet needs of adult survivors of childhood cancers. Psychooncology 2018; 27:1979-1986. [DOI: 10.1002/pon.4754] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2017] [Revised: 04/17/2018] [Accepted: 04/24/2018] [Indexed: 12/16/2022]
Affiliation(s)
- Jennifer White
- Department of Physiotherapy; Monash University; Melbourne Victoria Australia
| | - Joanne Park
- Department of Psychology; University of British Columbia; Vancouver British Columbia Canada
- Department of Oncology; University of Calgary; Calgary Alberta Canada
- Tom Baker Cancer Centre, Psychosocial Resources; Calgary Alberta Canada
| | - K. Brooke Russell
- Department of Oncology; University of Calgary; Calgary Alberta Canada
- Tom Baker Cancer Centre, Psychosocial Resources; Calgary Alberta Canada
| | | | - A. Madani
- Provincial Health Services Authority; Vancouver British Columbia Canada
| | - Linda E. Carlson
- Department of Oncology; University of Calgary; Calgary Alberta Canada
- Tom Baker Cancer Centre, Psychosocial Resources; Calgary Alberta Canada
| | - Janine Giese-Davis
- Department of Oncology; University of Calgary; Calgary Alberta Canada
- Tom Baker Cancer Centre, Psychosocial Resources; Calgary Alberta Canada
| |
Collapse
|